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Papers related to Large Language Models in all top venues

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# Large Language Models Papers

Updated list of Large Language Models papers as of **August 01, 2026**.

## Quick Access
🔍 **[Interactive Search & Browse](https://mtuann.github.io/papers/)** - Filter, search, and explore all papers with an intuitive interface

## Overview
- **Coverage**: Papers from 2016 to present
- **Sources**: arXiv, NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, IJCAI, KDD, CVPR, ICCV, ECCV, IEEE, ACM, Springer, ScienceDirect, Nature, and other top AI/ML venues
- **Updates**: Automated collection of new publications
- **Features**: Advanced search, code availability tracking, and multi-venue coverage

## Related Topics
- **[Large Language Models](https://github.com/mtuann/llm-updated-papers)** | **[Federated Learning](https://github.com/mtuann/federated-learning-updated-papers)** | **[Backdoor Learning](https://github.com/mtuann/backdoor-ai-resources)** | **[Machine Unlearning](https://github.com/mtuann/machine-unlearning-papers)**
- **[Serverless Computing](https://mtuann.github.io/papers/)** | **[Multi-Modal Learning](https://mtuann.github.io/papers/)**

## Large Language Models Papers with Code
This section lists papers with available code (sorted by publication date). For the complete paper list, visit the [Research Papers Page](https://mtuann.github.io/papers/).

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*This repository is regularly updated. For the latest data, visit the [Research Papers Page](https://mtuann.github.io/papers/).*

|No.|Title|Authors|Publish Date|Venue|Code|
|---|---|---|---|---|---|
|1|[Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks](https://doi.org/10.48550/arxiv.2607.21482)|Mack Nixon, Wright Lm, Yevgeniya Kovalchuk, Alison Fang-Wei Wu, Martin Danka, Andy Boyd, David Bann|2026-07-23|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/UCL-ARC/RRBench)](https://github.com/UCL-ARC/RRBench)|
|2|[LKValues: Aligning Large Language Models with Sri Lankan Societal Values](https://doi.org/10.48550/arxiv.2607.20410)|Nethmi Muthugala, Supryadi, Surangika Ranathunga, Nisansa de Silva, Ruijie Tao, Ovindu Gunatunga, Pengyun Zhu, Shaowei Z...|2026-07-22|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/NextME14/LKValues)](https://github.com/NextME14/LKValues)|
|3|[D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios](https://doi.org/10.48550/arxiv.2607.19834)|Siyi Hao, Y Cao, Lu Yu, Yuqi Ren, Deyi Xiong|2026-07-22|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/tjunlp-lab/D2VBench)](https://github.com/tjunlp-lab/D2VBench)|
|4|[Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models](https://doi.org/10.48550/arxiv.2607.19257)|Netanel Eliav|2026-07-21|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/iNetanel/veyrabench)](https://github.com/iNetanel/veyrabench)|
|5|[Pancasila-Dilemmas: Evaluating Large Language Models on Indonesian Human Value Dilemmas Grounded in Pancasila](https://doi.org/10.48550/arxiv.2607.18066)|Supryadi, Irfan, Julianti, Darren Keanly Martin, Jayvin Fernando, Yuqi Ren, Deyi Xiong|2026-07-20|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/tjunlp-lab/Pancasila-Dilemmas)](https://github.com/tjunlp-lab/Pancasila-Dilemmas)|
|6|[Mechanistic Interpretability for Understanding Language Abilities in Large Language Models: A Survey](https://doi.org/10.20944/preprints202607.1441.v1)|Xufeng Duan, Zhaoqian Yao, Xinyu Zhou, Zihao Fu, Beijia Kan, Yibo Wang, Xiao Bei, Hengyuan Zhang, Xuemei Tang, Ercong Ni...|2026-07-20|Preprints.org|[![Star](https://img.shields.io/github/stars/xufengduan/Awesome-Language-MI-Survey)](https://github.com/xufengduan/Awesome-Language-MI-Survey)|
|7|[Automated Architecture Refactoring via Instability-Aware Large Language Models](https://github.com/ahmedsalem84/paper_experiment-SE4)|Ahmed Salem|2026-07-19|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/ahmedsalem84/SE4)](https://github.com/ahmedsalem84/SE4.git)|
|8|[Extracting Biomedical Entities from Clinical Records: A Comparative Study of Large Language Model Approaches](https://doi.org/10.6084/m9.figshare.33029102.v1)|Erik Calcina, Erik Novak, Dunja Mladenić, and PREPARE Project Group|2026-07-19|Applied Artificial Intelligence|[![Star](https://img.shields.io/github/stars/erikcalcina/llm-medical-ner)](https://github.com/erikcalcina/llm-medical-ner)|
|9|[CoEvoP&amp;R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models](https://doi.org/10.48550/arxiv.2607.17398)|Ruogu Chen, Weihua Xiao, Ramesh Karri, Jie Han|2026-07-19|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/FCHXWH823/CoEvoP-R)](https://github.com/FCHXWH823/CoEvoP-R.git)|
|10|[Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph](https://doi.org/10.48550/arxiv.2607.17266)|Peiji Yu, Xin Chen, Tianxing Wu|2026-07-19|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/seucoin/Debate-on-Graph)](https://github.com/seucoin/Debate-on-Graph)|
|11|[An MLIR-Based Compilation Method for Large Language Models](https://doi.org/10.48550/arxiv.2607.15865)|P Hu, Zhibin Xin, Yifan Chen, Yangyang Zhou, Liang Wang|2026-07-17|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/sophgo/tpu-mlir)](https://github.com/sophgo/tpu-mlir)|
|12|[Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy](https://doi.org/10.48550/arxiv.2607.15176)|Do, Patrick Phuoc, Chau M. Ta, Chaoli Wang|2026-07-16|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/patdmp/mllm-scivis-lit-benchmark)](https://github.com/patdmp/mllm-scivis-lit-benchmark)|
|13|[Attend to Fragments: How Key Information Affects Large Language Models for Factual Inconsistency Detection](https://doi.org/10.1145/3805712.3809915)|Xindi Guo, Zhen Xie, Patrick H. Chen|2026-07-15|OpenAlex|[![Star](https://img.shields.io/github/stars/VibeHPC/attend-to-fragments)](https://github.com/VibeHPC/attend-to-fragments)|
|14|[FHIRBench: Benchmarking FHIR Clinical Data Serialization Strategies for Large Language Models](https://doi.org/10.64898/2026.07.14.26358020)|Jacqueline Chong|2026-07-15|medRxiv|[![Star](https://img.shields.io/github/stars/JacquelineChong/fhirbench)](https://github.com/JacquelineChong/fhirbench)|
|15|[GFlowRL: Scaling Distribution-Matching RL to Large Language Models](https://doi.org/10.48550/arxiv.2607.13394)|Xiaodong Liu, Mei‐Yan Xu, Jack W. Stokes, Paul Smolensky, Doug Burger, Jianfeng Gao|2026-07-15|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/microsoft/gflowrl)](https://github.com/microsoft/gflowrl)|
|16|[Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language Models](https://doi.org/10.48550/arxiv.2607.13860)|Zhuoyuan Fu, Zeshang Li, Yiqiong Zhang, Huiyan Lin, Yan Shu, Yan Li, Binyang Li, Yaru Zhao|2026-07-15|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/2020420145009/hounsfield)](https://github.com/2020420145009/hounsfield)|
|17|[Large Language Model Agent Evaluation and Benchmarking: A Systematic Survey, Meta-Taxonomy, and Critical Research Roadmap](https://github.com/vnageshwaran-de/Awesome-LLM-Agent-Evaluation/tree/v1.1)|Vinoth Nageshwaran, Soundararajan Ezekiel, Tin T. Tran, V. Lakshmi Narasimhan|2026-07-14|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/vnageshwaran-de/Awesome-LLM-Agent-Evaluation)](https://github.com/vnageshwaran-de/Awesome-LLM-Agent-Evaluation)|
|18|[WCM Universal Constants in Large Language Models: Grokking as 24-cell Geometric Phase Transition](https://doi.org/10.5281/zenodo.20994680)|Masanori Watabe, Claude Sonnet 5 Kurado|2026-07-14|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/watabe-masanori/cds-polytope)](https://github.com/watabe-masanori/cds-polytope)|
|19|[MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models](https://doi.org/10.48550/arxiv.2607.11594)|Tsz Hei Fan, Choi Wing Fung, Yuxuan Wan, Shuqing Li, Michael R. Lyu|2026-07-13|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/sereneee1201/MAGIC)](https://github.com/sereneee1201/MAGIC)|
|20|[Dataset for Master's thesis: Agent-based Test Generation with Large Language Models and Stryker](https://doi.org/10.5281/zenodo.21326299)|Everard de Vree|2026-07-12|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/eefscheef/agentic-stryker-tables)](https://github.com/eefscheef/agentic-stryker-tables)|
|21|[Behavioural Signatures of Risk-Sensitive Decision-Making in Large Language Models](https://doi.org/10.48550/arxiv.2607.10251)|Xuankun Rong, Wenke Huang, Bo Du, Dacheng Tao, Mang Ye|2026-07-11|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/XuankunRong/AgentTexasPoker)](https://github.com/XuankunRong/AgentTexasPoker)|
|22|[NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large Language Models](https://doi.org/10.1145/3805712.3809592)|Chao Jiang, Jinzhi Liao, Xiang Zhao|2026-07-10|OpenAlex|[![Star](https://img.shields.io/github/stars/jc4357/NeuCon-ICE)](https://github.com/jc4357/NeuCon-ICE)|
|23|[TM-Bench: Benchmarking Large Language Models on Low-Resource Traditional Mongolian](https://doi.org/10.1145/3805712.3808632)|Zhenjie Gao, Feilong Bao, Aruukhan Bai, Ruichen Hou, Xieqi Ji, Dabalgan Wang, Hugjil Ming, YJ Li|2026-07-10|OpenAlex|[![Star](https://img.shields.io/github/stars/gao1948083886/TM-Bench)](https://github.com/gao1948083886/TM-Bench)|
|24|[Beyond Correctness: A Controlled Evaluation of Evidence-Boundary Compliance in Large Language Models](https://doi.org/10.5281/zenodo.21294607)|Qian Wu|2026-07-10|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/qianwu673/Assert)](https://github.com/qianwu673/Assert)|
|25|[GeoTrace: Geometry-Aware Trajectory Token Compression for Video Large Language Models](https://doi.org/10.48550/arxiv.2607.09080)|Guohuan Xie, Mengqi Lei, Chuan Shi, Wei Bao, Yue Gao, Siqi Li|2026-07-10|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/guohuan-xie/GeoTrace)](https://github.com/guohuan-xie/GeoTrace.git)|
|26|[Empowering Job Recommendation with Large Language Models: A Generative and Attentive Approach](https://doi.org/10.1145/3828655)|Ling Jian, C. R. Rao, Jiaheng Dai, Xiao Gu|2026-07-09|ACM Transactions on Intelligent Systems and Technology|[![Star](https://img.shields.io/github/stars/raochongzhi/BRIDGE)](https://github.com/raochongzhi/BRIDGE)|
|27|[Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities](https://doi.org/10.48550/arxiv.2607.06482)|So Hasegawa, Shailaja Keyur Sampat, Lei Liu, Wei-Peng Chen|2026-07-07|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/SoHasegawa/datagovbench)](https://github.com/SoHasegawa/datagovbench)|
|28|[Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models](https://doi.org/10.48550/arxiv.2607.05716)|Zhiwei Yang, Yuanchen Wu, N Zhang, Yucong Meng, Ke Yan, Shouhong Ding|2026-07-07|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/zwyang6/SaGe)](https://github.com/zwyang6/SaGe)|
|29|[Selective Disclosure Watermarking for Large Language Models](https://doi.org/10.48550/arxiv.2607.05353)|Xuyang Chen, Xiang Li, Yangxinyu Xie, Qi Long|2026-07-06|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/xuyangc03/hero-watermark)](https://github.com/xuyangc03/hero-watermark)|
|30|[Toward Trustworthy Large Language Model Agents in Healthcare](https://doi.org/10.1109/iccbi68589.2026.11619647)|Hadi Hasan, Safaa Salman, Adam Tai Abou Dargham, Ammar Mohanna, Ali Chehab|2026-07-06|OpenAlex|[![Star](https://img.shields.io/github/stars/Hadi-Hsn/CareConnect)](https://github.com/Hadi-Hsn/CareConnect)|
|31|[Benchmarking large language models for ACMG/AMP variant interpretation and variant calling](https://doi.org/10.64898/2026.06.30.735646)|Manuel Corpas|2026-07-05|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/ClawBio/ClawBench)](https://github.com/ClawBio/ClawBench)|
|32|[LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation](https://doi.org/10.48550/arxiv.2607.04270)|Hongchen Li, Bohao Wang, Jingbang Chen, Weiqin Yang, Hang Pan, Bingde Hu, Can Wang, Jiawei Chen|2026-07-05|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/Void-JackLee/LBR)](https://github.com/Void-JackLee/LBR)|
|33|[CrossHallu: Do Hallucination Signals Generalize Across Languages and Domains in Large Language Model's Internals?](https://doi.org/10.48550/arxiv.2607.04029)|Aisha Alansari, Malak Alkhorasani, Hamzah Luqman|2026-07-04|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/aishaalansari57/CrossHal)](https://github.com/aishaalansari57/CrossHal)|
|34|[Auditing Token Padding and Token Accounting in Large Language Models: A Constraint-Adherence Metric and a Multi-Provider Empirical Study](https://doi.org/10.5281/zenodo.21175752)|Tobi Adeosun, Mary Adelua|2026-07-03|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/tflux2011/atap)](https://github.com/tflux2011/atap)|
|35|[CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection](https://doi.org/10.48550/arxiv.2607.02930)|Wen Dong, Zhao Wang, Shuangqing Zhang, Kai Sun, Ben Li, Guo-Sen Xie, Caifeng Shan, Fang Zhao|2026-07-03|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/WenDongyp/CL-Anomaly)](https://github.com/WenDongyp/CL-Anomaly)|
|36|[Unbiased Alignment for Large Language Models with Noisy Preferences](https://doi.org/10.48550/arxiv.2607.03248)|Jialiang Wang, Xianming Liu, X J Zhou, Hui Liu, Haoliang Li|2026-07-03|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/cswjl/unbiased-alignment)](https://github.com/cswjl/unbiased-alignment)|
|37|[OntoLearner: A Modular Python Library for Ontology Learning with Large Language Models](https://doi.org/10.21203/rs.3.rs-9539494/v1)|Hamed Babaei Giglou, Jennifer D'Souza, Andrei Aioanei, Nandana Mihindukulasooriya, Sören Auer|2026-07-02|Research Square|[![Star](https://img.shields.io/github/stars/sciknoworg/OntoLearner)](https://github.com/sciknoworg/OntoLearner)|
|38|[tsAMP: a strain-level antimicrobial peptide identification framework based on large language models and pathogen genomic variation](https://doi.org/10.3389/fmicb.2026.1842380)|Hui Li, Han Gao, Jian Tian, X Wang, Rui Jiang, Ting Chen, H M Chen, Yuqing Yang, Congmin Zhu|2026-07-02|Frontiers in Microbiology|[![Star](https://img.shields.io/github/stars/YangLab-BUPT/tsAMP)](https://github.com/YangLab-BUPT/tsAMP)|
|39|[Personality and interpersonal values in large language models: a three-instrument panel study (PID-5, IPIP-NEO-300, CSIV-64)](https://osf.io/7gnm8)|Cainã Teixeira Gomes|2026-07-01|Open MIND|[![Star](https://img.shields.io/github/stars/gomescaina/llm-personality-prereg-v2)](https://github.com/gomescaina/llm-personality-prereg-v2)|
|40|[Efficacy of a Large Language Model Data Extraction System in Evidence Reviews for Emerging Infectious Diseases: A Randomized Crossover Trial](https://doi.org/10.1093/ofid/ofag401)|Masahiro Ishikane, Yuki Kataoka, Yasushi Tsujimoto, Yuki Moriyama, Yukimasa Matsuzawa, Norio Ohmagari|2026-07-01|Open Forum Infectious Diseases|[![Star](https://img.shields.io/github/stars/SRWS-PSG/emerging_infection_24K13518_open)](https://github.com/SRWS-PSG/emerging_infection_24K13518_open)|
|41|[Large language model ensemble for automated TNM staging from radiology reports](https://doi.org/10.1093/bioinformatics/btag399)|Wen-Chao Yeh, Yi-Shin Chen, Wen-Lian Hsu, Shuntaro Yada, Yung-Chun Chang|2026-07-01|Bioinformatics|[![Star](https://img.shields.io/github/stars/nlptmu/multi-expert-tnm-staging)](https://github.com/nlptmu/multi-expert-tnm-staging)|
|42|[FinSight AI: An Intelligent Fintech Analytics Dashboard Integrating Large Language Models with NoSQL Databases](https://doi.org/10.5281/zenodo.21081618)|Awais Ur Rehman|2026-06-30|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/AwaisRehman/finsight-ai)](https://github.com/AwaisRehman/finsight-ai)|
|43|[Learning to Deny: Action Denial in Multimodal Large Language Models](https://doi.org/10.48550/arxiv.2606.31187)|Raiyaan Abdullah, Shehreen Azad, Yogesh Singh Rawat|2026-06-30|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/raiyaan-abdullah/Learn-to-Deny)](https://github.com/raiyaan-abdullah/Learn-to-Deny)|
|44|[Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models](https://doi.org/10.48550/arxiv.2607.18280)|Chao Han, Haozhe Hu, Xiaoyu Shen|2026-06-29|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/EIT-NLP/LLM-Pruning)](https://github.com/EIT-NLP/LLM-Pruning)|
|45|[Diff for Diff: An Empirical Study of Diffusion Large Language Models for Code Changes](https://doi.org/10.5281/zenodo.21024215)|Annoymous|2026-06-29|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/codefuse-ai/codefuse-hqcm)](https://github.com/codefuse-ai/codefuse-hqcm)|
|46|[SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models](https://doi.org/10.48550/arxiv.2606.29815)|Shuaimin Li, Liyang Fan, Zeyang Li, Zhuoyue Wan, Yufang Lin, Shiwen Ni, Feiteng Fang, Hamid Alinejad-Rokny, Y Song, Kun ...|2026-06-29|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/SMinL/SrDetectionCode)](https://github.com/SMinL/SrDetectionCode)|
|47|[Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback](https://doi.org/10.48550/arxiv.2606.29700)|Jiamei Jiang, Jiajing Zhang, Feifei Mo, Linjing Li, Daniel Zeng|2026-06-29|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/ibasicplan/NL-PDDL-Bench)](https://github.com/ibasicplan/NL-PDDL-Bench)|
|48|[AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models](https://doi.org/10.48550/arxiv.2606.28708)|Dawon Ahn, Auder Der, Evangelos E. Papalexakis|2026-06-27|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/dawonahn/ECML_PKDD_AnTenA)](https://github.com/dawonahn/ECML_PKDD_AnTenA)|
|49|[Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python](https://doi.org/10.1145/3822511)|Wenhan Wang, Kaibo Liu, Zeyu Sun, An Ran Chen, Ge Li, Gang Huang, Lei Ma|2026-06-26|ACM Transactions on Software Engineering and Methodology|[![Star](https://img.shields.io/github/stars/jacobwwh/llm-path-study)](https://github.com/jacobwwh/llm-path-study)|
|50|[From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models](https://doi.org/10.48550/arxiv.2606.27679)|Ponhvoan Srey, Xiaobao Wu, Cong-Duy Nguyen, Quang Minh Nguyen, Duc Anh Vu, Anh Tuan Luu|2026-06-26|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/ponhvoan/ProbeUE)](https://github.com/ponhvoan/ProbeUE)|
|51|[MORPHEUS v2.0: A Deterministic Triple-Judge Protocol for Anti-Hallucination in Large Language Models](https://doi.org/10.5281/zenodo.20876878)|Belkacem Mansouri|2026-06-26|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/kacem-1970/Morpheus_Qwen)](https://github.com/kacem-1970/Morpheus_Qwen)|
|52|[RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning](https://doi.org/10.48550/arxiv.2606.28266)|Yelin Wang, Zijia Song, Shuo Ye, Chuanguang Yang, Miaoyu Wang, Yan Xu, Zhulin An, Yan Xu, Zitong Yu|2026-06-26|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/keaill/RSICCLLM)](https://github.com/keaill/RSICCLLM)|
|53|[Searching the Druggable Genome using Large Language Models](https://doi.org/10.64898/2026.01.18.700012)|Lars Schimmelpfennig, Matthew Cannon, Quentin Cody, Joshua McMichael, Adam Coffman, Susanna Kiwala, Kilannin J Krysiak, ...|2026-06-26|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/griffithlab/dgidb-mcp-server)](https://github.com/griffithlab/dgidb-mcp-server)|
|54|[\textscDiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models](https://arxiv.org/abs/2606.26530)|Yuxuan Yang, Feiyang Li, Yile Wang|2026-06-25|ArXiv.org|[![Star](https://img.shields.io/github/stars/szu-tera/DiARC)](https://github.com/szu-tera/DiARC)|
|55|[NanoCellAnnotator: Formalizing Expert Cell Type Annotation with Large Language Models](https://doi.org/10.64898/2026.06.21.728965)|Md Ishtyaq Mahmud, Veena Kochat, Humaira Anzum, Suresh Satpati, Jagan Mohan Reddy Dwarampudi, Kunal Rai, Tania Banerjee|2026-06-25|bioRxiv (Cold Spring Harbor Laboratory)|[![Star](https://img.shields.io/github/stars/ishtyaqmahmud/NanoCellAnnotator)](https://github.com/ishtyaqmahmud/NanoCellAnnotator)|
|56|[Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge](https://doi.org/10.48550/arxiv.2606.27527)|Thomas Shih-Chao Liang, Zhuoran Yu, Yong Jae Lee|2026-06-25|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/lliangthomas/lavid)](https://github.com/lliangthomas/lavid)|
|57|[FairHireBench: A Cross-Generational Intersectional Bias Benchmark for Large Language Models in Automated Hiring](https://doi.org/10.1145/3805689.3806487)|Sweta J Ratnani, Lingyao Li, Yitian Lou, Mingyang Li, Kaixun Hua|2026-06-25|OpenAlex|[![Star](https://img.shields.io/github/stars/Sweta0096/FairHire-Bench)](https://github.com/Sweta0096/FairHire-Bench)|
|58|[DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models](https://doi.org/10.48550/arxiv.2606.26530)|Yuxuan Yang, Feiyang Li, Yile Wang|2026-06-25|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/szu-tera/DiARC)](https://github.com/szu-tera/DiARC)|
|59|[EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression](https://doi.org/10.48550/arxiv.2606.25285)|Ke Xu, Jiaqi Wan, Wenhao Hu, Han Pu, Xiaoyun Wang|2026-06-24|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/xuke225/EPTS)](https://github.com/xuke225/EPTS)|
|60|[PROMPTOPTIX: A DEFECT-AWARE MULTI-AGENT FRAMEWORK FOR AUTOMATED PROMPT OPTIMIZATION IN LARGE LANGUAGE MODELS](https://doi.org/10.56726/irjmets101057)||2026-06-24|International Research Journal of Modernization in Engineering Technology and Science|[![Star](https://img.shields.io/github/stars/AtharvSabde/PromptOptix)](https://github.com/AtharvSabde/PromptOptix)|
|61|[PolicyAlign: Direct Policy-Based Safety Alignment for Large Language Models](https://doi.org/10.48550/arxiv.2606.25442)|C E Wu, Ji Fang, Houcheng Jiang, Kai Tang, Pengyu Cheng, X. Jiang, Guanjun Jiang, Xiang Wang|2026-06-24|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/Qwen-Applications/PolicyAlign)](https://github.com/Qwen-Applications/PolicyAlign)|
|62|[CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression](https://doi.org/10.48550/arxiv.2606.24083)|Morayo Danielle Adeyemi, Ryan A. Rossi, Franck Dernoncourt|2026-06-23|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/danielle34/cavewoman)](https://github.com/danielle34/cavewoman)|
|63|[RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning](https://doi.org/10.48550/arxiv.2606.28392)|Jiasheng Wang, Tanun Jitwatcharakomol, Piyawadee Jongpradubgiat, Simeng Zhu|2026-06-23|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/jwang-580/RADIANT-PET)](https://github.com/jwang-580/RADIANT-PET)|
|64|[Agentic AI and Large Language Models for Autonomous IoT Cybersecurity: A Systematic Survey, Taxonomy, and Research Roadmap](https://doi.org/10.20944/preprints202606.0142.v1)|Vinoth Nageshwaran, Soundararajan Ezekiel|2026-06-22|Preprints.org|[![Star](https://img.shields.io/github/stars/vnageshwaran-de/agentic-iot-security)](https://github.com/vnageshwaran-de/agentic-iot-security)|
|65|[TriggerBench: Investigating Prospective Memory for Large Language Models](https://doi.org/10.48550/arxiv.2606.23459)|Tianhua Zhang, Xinjiang Wang, Q. Zhang, Qi Chen, Kun Li, Yaoqi Chen, Dingdong Wang, Helen Meng, Yan Lu|2026-06-22|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/KristenZHANG/TriggerBench-Official)](https://github.com/KristenZHANG/TriggerBench-Official)|
|66|[Using Large Language Models to Automate Harmful Algal Bloom Prediction](https://github.com/Mings-group/llm-harmful-algal-bloom/tree/v1.0.0)|Ming Li, Jorge Verduzco Zavala, Xiaohong Wang, Pedro R Coasta, Patricia M. Glibert|2026-06-22|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/Mings-group/llm-harmful-algal-bloom)](https://github.com/Mings-group/llm-harmful-algal-bloom)|
|67|[Demonstration of use of computer vision capabilities of large language models (LLMs) using R](https://github.com/OxfordIHTM/computer-vision-demo/tree/v0.0.0.9000)|Pool, Sylvie, Guevarra, Ernest|2026-06-21|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/OxfordIHTM/computer-vision-demo)](https://github.com/OxfordIHTM/computer-vision-demo)|
|68|[FM4EAD: Towards Training-Free Energy Anomaly Detection with Large Language Models and Time-Series Foundation Models](https://doi.org/10.1145/3765611.3815485)|Ganesh Islavath, Kajeeth Kumar, Amit Kumar, Pandarasamy Arjunan|2026-06-20|OpenAlex|[![Star](https://img.shields.io/github/stars/iisc-edge/fm4ead)](https://github.com/iisc-edge/fm4ead)|
|69|[Synthetic Contingent Valuation Using Large Language Models – Replication Data and Code](https://github.com/alethicresearch/synthetic-cv)|Trevor Woolley, Sankalpa Ghose, Alina Khindanova, Kasra Rasaee, Bob Fischer|2026-06-19|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/alethicresearch/synthetic-cv)](https://github.com/alethicresearch/synthetic-cv)|
|70|[psytechlab at CLPsych 2026: Utilising Natural Language Processing methods and Large Language Models for Social Media Text Analysis](https://doi.org/10.48550/arxiv.2607.03003)|Association for Computational Linguistics 2026, Igor Buyanov, Ekaterina Mazurina, Nafisa Valieva|2026-06-19|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/psytechlab/CLPsych2026)](https://github.com/psytechlab/CLPsych2026)|
|71|[The Standard Model of Transformers: Phase Transitions, Active Matter, and Universal Laws in Large Language Models](https://github.com/hafufu-stack/Standard-Model-of-Transformers)|Hiroto Funasaki|2026-06-19|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/hafufu-stack/Standard-Model-of-Transformers)](https://github.com/hafufu-stack/Standard-Model-of-Transformers)|
|72|[Automatic Processing of Russian Verb-Noun Collocations Using Large Language Models](https://doi.org/10.29003/2075-7182-2026-24-311-317)|Vera Krasnobaeva|2026-06-19|Computational Linguistics and Intellectual Technologies|[![Star](https://img.shields.io/github/stars/Vera-bahval/russian-verb-noun-collocations)](https://github.com/Vera-bahval/russian-verb-noun-collocations)|
|73|[MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model](https://doi.org/10.48550/arxiv.2604.18272)|Zhiwei Liu, Yuyan Wang, Yuechen Jiang, Yupeng Cao, Tianlei Zhu, Xiaorui Guo, Zhiyang Deng, Zhiyuan Yao, Xiao-Yang Liu, J...|2026-06-19|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/lzw108/FMD)](https://github.com/lzw108/FMD)|
|74|[BioMeter and BioManner: Evaluating and enhancing reliability of large language models in bioprocess engineering](https://doi.org/10.1016/j.dche.2026.100318)|Xiaoyu You, Zhenhua Yu, Di Wu, Luyun Shi, Guan Wang, Zhixing Cao, Qingchao Jiang, Xuefeng Yan, Weimin Zhong, Biao Huang|2026-06-18|Digital Chemical Engineering|[![Star](https://img.shields.io/github/stars/TrustMATIC-Lab/BioMM)](https://github.com/TrustMATIC-Lab/BioMM)|
|75|[CombEval: A Framework for Evaluating Combinatorial Counting in Large Language Models](https://doi.org/10.48550/arxiv.2606.19788)|Yuxu Zhou, Ondřej Kuželka, Yuyi Wang, Yuanhong Wang, Yi Chang|2026-06-18|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/YuxuZhou-CN/combination-problem-generation)](https://github.com/YuxuZhou-CN/combination-problem-generation)|
|76|[Modern large language models](https://doi.org/10.5281/zenodo.20276564)|VOLOKHOVYCH STANISLAV|2026-06-18|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/ngscode23/latent-space-shift-research)](https://github.com/ngscode23/latent-space-shift-research)|
|77|[Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification](https://doi.org/10.48550/arxiv.2606.16987)|Truong Thanh Hung Nguyen, Khanh Van Quynh Nguyen, Hoang-Loc Cao, Tri Duong, Phuc Ho, Van Pham, Loc Nguyen, Hung Cao|2026-06-15|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/Analytics-Everywhere-Lab/hts)](https://github.com/Analytics-Everywhere-Lab/hts)|
|78|[Prompt Compression for Diffusion Large Language Models: An Empirical Evaluation of LLMLingua-2 and LLaDA](https://doi.org/10.1145/3816713.3818806)|Sterling Huang, Abigayle Brown, Jiyoo Noh, Jiakang Xu, Wantong Huo, Kaung Myat Kyaw, Jonathan H. Chan|2026-06-15|OpenAlex|[![Star](https://img.shields.io/github/stars/axxx129-ops/DLLM-Compression)](https://github.com/axxx129-ops/DLLM-Compression)|
|79|[Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models](https://doi.org/10.48550/arxiv.2606.15880)|Kaiqing Lin, Zhiyuan Yan, Rui Chen, Ke-Yue Zhang, Yue Zhou, Caiyong Piao, Bin Li, Taiping Yao, Bo Wang, Y H Xiao, Shouho...|2026-06-14|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/KQL11/Deep-VRM)](https://github.com/KQL11/Deep-VRM)|
|80|[UrbanWell: Benchmarking Multimodal Large Language Models for Spatio-Temporal Urban Wellbeing Analytics](https://doi.org/10.48550/arxiv.2606.15890)|Yanxin Xi, Xiang Su, Jie Feng, Yu Lu Liu, Sasu Tarkoma, Pan Hui|2026-06-14|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/axin1301/UrbanWell-Benchmark)](https://github.com/axin1301/UrbanWell-Benchmark)|
|81|[Accelerating GPU Inference of Large Language Models with Moderately Unstructured Sparse Weight Matrices](https://doi.org/10.48550/arxiv.2607.08786)|Tao Lu, Haoyu Wang, Zonghui Wang, Keshen Xiang, Jiaheng Zhang, Wenzhi Chen|2026-06-13|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/moui0/cudac)](https://github.com/moui0/cudac)|
|82|[Taseen06/R2: Wrong with Confidence: How Large Language Models Hallucinate, Manipulate, and Discriminate](https://github.com/Taseen06/R2/tree/LLM3)|Toufiqur Rahman Tasin, Md. Rejaul Korim Sadi|2026-06-13|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/Taseen06/R2)](https://github.com/Taseen06/R2)|
|83|[The Standard Model of Transformers: Five Universal Laws of Thermodynamic Computation in Large Language Models](https://github.com/hafufu-stack/Standard-Model-of-Transformers)|Hiroto Funasaki|2026-06-13|Open MIND|[![Star](https://img.shields.io/github/stars/hafufu-stack/Standard-Model-of-Transformers)](https://github.com/hafufu-stack/Standard-Model-of-Transformers)|
|84|[From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models](https://doi.org/10.48550/arxiv.2606.14210)|Zixuan Gu, Xiaojun Ye, Yang Liu|2026-06-12|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/FLAIR-THU/VFLAIR-LLM)](https://github.com/FLAIR-THU/VFLAIR-LLM)|
|85|[Authority, Truth, and Citation Bias: A Large-Scale Multi-Domain Benchmark for Studying Epistemic Susceptibility in Large Language Models](https://doi.org/10.48550/arxiv.2606.13104)|Aryan Khurana, Aravind Ramana, Dhruv Kumar|2026-06-11|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/floating-reeds/AuthorityBench)](https://github.com/floating-reeds/AuthorityBench)|
|86|[Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models](https://doi.org/10.48550/arxiv.2606.12203)|Changyue Wang, Weihang Su, Qingyao Ai, Yichen Tang, Runzhong Qiao, Xuancheng Li, Min Zhang, Yiqun Liu|2026-06-10|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/bebr2/SKIM)](https://github.com/bebr2/SKIM)|
|87|[MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models](https://doi.org/10.48550/arxiv.2607.22586)|J. Shu, Chenyang Wu, Zhongle Xie, Baokun Wang, Lidan Shou|2026-06-09|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/zjuDBxAI/MM-ShiftKV)](https://github.com/zjuDBxAI/MM-ShiftKV)|
|88|[Civil Court Simulation with Large Language Models](https://doi.org/10.48550/arxiv.2606.09632)|Yifan Chen, Haitao Li, Kaiyuan Zhang, Yueyue Wu, Qingyao Ai, Yiqun Liu|2026-06-08|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/foggpoy/Civil-Court)](https://github.com/foggpoy/Civil-Court)|
|89|[Self-Evolving Time-Series Agent: Automatic Architecture Creation Based on Large Language Models](https://doi.org/10.5281/zenodo.20594597)|Pengfei Zhou, Junli Liang, Jiayuan Chen, Rong Lin, Ziwen Wang, Ping Zhang, Wangqiu Zhou, Qi Song|2026-06-08|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/mumiao2000/SE-TSA)](https://github.com/mumiao2000/SE-TSA)|
|90|[DPO vs. RLHF: An Empirical Comparison of Alignment Techniques for Large Language Models](https://doi.org/10.5281/zenodo.20578480)|Mohit Yadav|2026-06-07|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/AnthropicBots/dpo-vs-rlhf-alignmet-study)](https://github.com/AnthropicBots/dpo-vs-rlhf-alignmet-study)|
|91|[Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics](https://doi.org/10.48550/arxiv.2606.07335)|Hangtao Zhang, Yucheng Zhao, Sishun Liu, Ziqi Zhou, Zeyu Ye, Wei Wan, Minghui Li, Shengshan Hu, Yanjun Zhang, Yi Liu, Le...|2026-06-05|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/Rookie143/mtk)](https://github.com/Rookie143/mtk)|
|92|[Measuring and Improving Behavioral Consistency in Large Language Models through Fact-Heuristic-Emotion State Enforcement](https://github.com/TeenyToolSoftware/cogos-behavioral-consistency)|Gi-hun Lee, Joong Yull Park|2026-06-05|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/TeenyToolSoftware/cogos-behavioral-consistency)](https://github.com/TeenyToolSoftware/cogos-behavioral-consistency)|
|93|[SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models](https://doi.org/10.48550/arxiv.2606.07705)|Yuchen He, Baolong Bi, Shenghua Liu, Huaming Liao, Yuyao Ge, Bolin Wan, S.L. Tong, Juan Chen, Jiafeng Guo, Xueqi Cheng|2026-06-05|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/Zhaolutuan/SAW)](https://github.com/Zhaolutuan/SAW)|
|94|[Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models](https://doi.org/10.48550/arxiv.2607.19364)|Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, M Tasdik Hasan|2026-06-05|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/Oshayer-Siddique/LLM-Steering-Using-SAE)](https://github.com/Oshayer-Siddique/LLM-Steering-Using-SAE)|
|95|[The Standard Model of Transformers: A Thermodynamic and Dynamical-Systems Framework for Understanding Large Language Models](https://github.com/hafufu-stack/Standard-Model-of-Transformers)|Hiroto Funasaki|2026-06-04|Open MIND|[![Star](https://img.shields.io/github/stars/hafufu-stack/Standard-Model-of-Transformers)](https://github.com/hafufu-stack/Standard-Model-of-Transformers)|
|96|[The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models](https://doi.org/10.48550/arxiv.2606.06188)|Jinyang Zhang, Hongxin Ding, Yue Fang, Weibin Liao, Muyang Ye, Junfeng Zhao, Yasha Wang|2026-06-04|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/zjy1298/The-Tell-Tale-Norm)](https://github.com/zjy1298/The-Tell-Tale-Norm)|
|97|[ARIA: Autonomous Retrieval and Integration Architecture for Continual Knowledge Updating in Large Language Models](https://doi.org/10.5281/zenodo.20545028)|Diwakar Srinivasan|2026-06-04|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/Diwakarsrd/ARIA-System)](https://github.com/Diwakarsrd/ARIA-System)|
|98|[From Parameters to Behaviors: A Survey of Model Fusion for Large Language Models](https://doi.org/10.20944/preprints202605.2007.v2)|Shuo Cai, Yanggan Gu, Zihao WANG, Yuanyi Wang, Yibo Yan, Wenjun Wang, Yuhang Liu, Guanghao Zhu, Sirui Huang, Ming Li, Ho...|2026-06-04|Preprints.org|[![Star](https://img.shields.io/github/stars/Baicaihaochi/Awesome-Model-Fusion-Survey)](https://github.com/Baicaihaochi/Awesome-Model-Fusion-Survey)|
|99|[An Embarrassingly Simple Detector for Model Extraction Attacks in Large Language Model API Traffic](https://doi.org/10.48550/arxiv.2606.05725)|Shuze Liu, Qianwen Guo, Yushun Dong|2026-06-04|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/LabRAI/mmd-llm-mea-detection)](https://github.com/LabRAI/mmd-llm-mea-detection)|
|100|[Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models](https://doi.org/10.48448/vjet-9j24)|Association for Computational Linguistics 2026, Ragib Amin Nihal, Kazuhiro Nakadai, Jun Sakuma, Rui Wen|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Ragib-Amin-Nihal/PE-CoA)](https://github.com/Ragib-Amin-Nihal/PE-CoA)|
|101|[PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models](https://doi.org/10.48550/arXiv.2601.10532)|Association for Computational Linguistics 2026, Junyi Cheng, Fuli Feng, Wenjie Wang, Chengbing Wang, YI XIE, Y Victoria ...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ZhengWwwq/PERM)](https://github.com/ZhengWwwq/PERM)|
|102|[Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop](https://doi.org/10.48550/arXiv.2601.05184)|Association for Computational Linguistics 2026, Yujia Bao, Zhongteng Cai, Yang Liu, Yaxuan Wang, Xueru Zhang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/UCSC-REAL/SCPL)](https://github.com/UCSC-REAL/SCPL.git)|
|103|[Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding](https://doi.org/10.48550/arxiv.2604.17132)|Association for Computational Linguistics 2026, Lu Bai, Lixin Cui, Ziyu Lyu, Yupeng Qi, Feng Xia|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/OutdoorManofML/AdaCD)](https://github.com/OutdoorManofML/AdaCD)|
|104|[MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models](https://doi.org/10.48550/arXiv.2603.19044)|Association for Computational Linguistics 2026, Jiahao Cheng, Chenyang Gu, Guoxiu He, Meicong Zhang, Pujun Zheng, Jinqua...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ECNU-Text-Computing/IdeaGeneration)](https://github.com/ECNU-Text-Computing/IdeaGeneration)|
|105|[Nature-Inspired Population-Based Evolution of Large Language Models](https://doi.org/10.48550/arXiv.2503.01155)|Association for Computational Linguistics 2026, Lei Bai, Shi Feng, Shuyue Hu, Wanli Ouyang, Xiaocui Yang, Peng Ye, Shufe...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ZhangYiqun018/GENOME)](https://github.com/ZhangYiqun018/GENOME)|
|106|[Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores](https://doi.org/10.48448/2ms1-5y77)|Association for Computational Linguistics 2026, Hongran An, Zhang Bo, Congren Dai, Ge Jin, Peiyuan Jing, KinHei Lee, Xia...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Congren-Dai/MSU-Bench)](https://github.com/Congren-Dai/MSU-Bench)|
|107|[Multi-component Causal Tracing in Large Language Models](https://doi.org/10.48550/arxiv.2606.03085)|Association for Computational Linguistics 2026, Dmitriy A. Katz-Rogozhnikov, Prasanna Sattigeri, Ali Tajer, Dennis Wei, ...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ZiruiYan/multi-component-causal-tracing)](https://github.com/ZiruiYan/multi-component-causal-tracing)|
|108|[Language of Thought Shapes Output Diversity in Large Language Models](https://doi.org/10.48550/arXiv.2601.11227)|Association for Computational Linguistics 2026, Shaoyang Xu, Wenxuan Zhang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/iNLP-Lab/Multilingual-LoT-Diversity)](https://github.com/iNLP-Lab/Multilingual-LoT-Diversity)|
|109|[MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models](https://doi.org/10.48550/arXiv.2506.05928)|Association for Computational Linguistics 2026, Jie Cao, hongyang he, Juncheng Li, Tianwei Lin, Siliang Tang, Rolan Yan,...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/DCDmllm/MoA)](https://github.com/DCDmllm/MoA)|
|110|[Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO](https://doi.org/10.48550/arXiv.2603.21016)|Association for Computational Linguistics 2026, Chenyang Gu, Guoxiu He, Jiacheng Yao, Jia Yuan, Pujun Zheng, Jinquan Zhe...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ECNU-Text-Computing/PA-GRPO)](https://github.com/ECNU-Text-Computing/PA-GRPO)|
|111|[METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models](https://doi.org/10.48550/arXiv.2604.11502)|Association for Computational Linguistics 2026, Hongyao Chen, Chaoqun Hao, Chen Huang, Wenqiang Lei, P L Li, See-Kiong N...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/SCUNLP/METER)](https://github.com/SCUNLP/METER)|
|112|[MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language Models](https://doi.org/10.48550/arxiv.2602.21950)|Association for Computational Linguistics 2026, Boqi Chen, Marianne Frey-Marti, Kyle Lam, Li Li, xudong liu, Jiachuan Pe...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/jianing-lab/MEDSYN)](https://github.com/jianing-lab/MEDSYN)|
|113|[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://doi.org/10.20944/preprints202601.1663.v1)|Association for Computational Linguistics 2026, Sophia Ananiadou, Xufeng Duan, Tao Gui, X S Huang, Senjie Jin, Xiao Lian...|2026-06-03|Computer Science Review|[![Star](https://img.shields.io/github/stars/rattlesnakey/Awesome-Actionable-MI-Survey)](https://github.com/rattlesnakey/Awesome-Actionable-MI-Survey)|
|114|[LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?](https://aclanthology.org/2026.acl-long.122/)|Association for Computational Linguistics 2026, Yankai Chen, Chao Huang, Zhonghang Li, Jingyuan Wang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/HKUDS/LightReasoner)](https://github.com/HKUDS/LightReasoner)|
|115|[Learning Uncertainty from Sequential Internal Dispersion in Large Language Models](https://doi.org/10.48550/arxiv.2604.15741)|Association for Computational Linguistics 2026, Anh Tuan Luu, Ponhvoan Srey, Cong-Duy T Nguyen, Xiaobao Wu|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ponhvoan/internal-variance)](https://github.com/ponhvoan/internal-variance)|
|116|[Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language Models](https://doi.org/10.48448/ah1n-b395)|Association for Computational Linguistics 2026, Yuansen Liu, Yixuan Tang, Anthony K. H. Tung|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Yuan-Hou/criteria_attack)](https://github.com/Yuan-Hou/criteria_attack)|
|117|[Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings](https://doi.org/10.48550/arxiv.2606.27287)|Association for Computational Linguistics 2026, Preet Baxi, Stefanus Jasin, Jiannan Xu, Jane Yi Jiang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/preetb1199/Prompt_Injection_ACL26)](https://github.com/preetb1199/Prompt_Injection_ACL26)|
|118|[TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models](https://kclpure.kcl.ac.uk/portal/en/publications/929d69f2-5ca7-4ef9-b090-a9f8100f9add)|Association for Computational Linguistics 2026, Mamta -, Oana Cocarascu, Bogdan Octavian Grecu|2026-06-03|Research Portal (King's College London)|[![Star](https://img.shields.io/github/stars/TRAI-group/TinyAttack)](https://github.com/TRAI-group/TinyAttack)|
|119|[Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers](https://doi.org/10.48550/arxiv.2601.22139)|Association for Computational Linguistics 2026, X CHEN, Hardy Chen, Su Huang, Feng Jiang, Wenya Xie, Shuo Yan, Min Yang,...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/SUAT-AIRI/Proactive-Interactive-R1)](https://github.com/SUAT-AIRI/Proactive-Interactive-R1)|
|120|[Robust Membership Inference for Large Language Models under Adversarial Generative Corruption](https://doi.org/10.48448/m00t-gg48)|Association for Computational Linguistics 2026, Xueying Bai, Yuanhong Huang, J R Liu, Wanchun Ni, Tao Qi, Ziqin Wang, Yi...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/kong-hyh/MoMIA)](https://github.com/kong-hyh/MoMIA)|
|121|[Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models](https://doi.org/10.48550/arxiv.2604.25011)|Association for Computational Linguistics 2026, Zhuowen Han, Renren Jin, Simon Ostermann, Dan Shi, Josef Genabith, Deyi ...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/danshi777/RL-generalization)](https://github.com/danshi777/RL-generalization)|
|122|[TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting](https://doi.org/10.48448/hfv3-8716)|Association for Computational Linguistics 2026, Y.J Bi, Zhenya Huang, Jiaming Leng, Chuan Qin, Haojie Ren, Chao Wang, Bi...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/lengjiaming/TransLLM)](https://github.com/lengjiaming/TransLLM)|
|123|[Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures](https://doi.org/10.48550/arxiv.2604.16042)|Association for Computational Linguistics 2026, Yutong Gao, Qinglin Meng, Liangming Pan, Yuan Zhou|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/PKU-PILLAR-Group/Survey-Intrinsic-Interpretability-of-LLMs)](https://github.com/PKU-PILLAR-Group/Survey-Intrinsic-Interpretability-of-LLMs)|
|124|[Token-Efficient Machine Code Representations for Large Language Models: A Complete Research Journey from Hypothesis to Performance Validation](https://doi.org/10.5281/zenodo.20533570)|Sushanth Tiruvaipati|2026-06-03|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/tsushanth/llm-machine-code-analysis)](https://github.com/tsushanth/llm-machine-code-analysis)|
|125|[The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models](https://doi.org/10.48550/arxiv.2604.20225)|Association for Computational Linguistics 2026, Mahongxia ., Liqun Deng, Fanyi Du, Jiaxin Guo, Minggui HE, Zhang Li, Che...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/lunyiliu/GaoYao)](https://github.com/lunyiliu/GaoYao)|
|126|[Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models](https://doi.org/10.48448/7267-w583)|Association for Computational Linguistics 2026, S Liu, B Wang, Geyuan Zhang, Xiaofei Zhou|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/SimonsLiu/TECQA)](https://github.com/SimonsLiu/TECQA)|
|127|[TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models](https://doi.org/10.48550/arXiv.2509.03234)|Association for Computational Linguistics 2026, Yuxuan Gu, Giorgos Iacovides, Danilo Mandic, Wuyang Zhou|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/guyuxuan9/TeRA)](https://github.com/guyuxuan9/TeRA)|
|128|[TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models](https://doi.org/10.48550/arXiv.2604.06291)|Association for Computational Linguistics 2026, Peiquan Jin, Lin Mu, Li Ni, Lei Sang, Haiyang Wang, Zhize Wu, Yiwen Zhan...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/why0129/TalkLoRA)](https://github.com/why0129/TalkLoRA)|
|129|[TLoRA: Task-aware Low Rank Adaptation of Large Language Models](https://doi.org/10.48550/arxiv.2604.18124)|Association for Computational Linguistics 2026, Jiawei Dang, Weicheng Lin, Liang-Jie Zhang, Y Victoria Zhang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Rambo-Yi/TLora)](https://github.com/Rambo-Yi/TLora)|
|130|[Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning](https://doi.org/10.48448/cwvd-dr26)|Association for Computational Linguistics 2026, Junlan Feng, Wenchun Gao, Xue Han, Qian Hu, Lijun Mei, Yitong Wang, Jiah...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/736619821/ASO-LORA)](https://github.com/736619821/ASO-LORA)|
|131|[Safe-FedLLM: Delving into the Safety of Federated Large Language Models](https://doi.org/10.48550/arXiv.2601.07177)|Association for Computational Linguistics 2026, Xiangyan Tang, Mingxiang Tao, Yu Tian, Wenxuan Tu, Yue Yang, Xue Yang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/dmqx/Safe-FedLLM)](https://github.com/dmqx/Safe-FedLLM)|
|132|[SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models](https://doi.org/10.48448/bsr6-9338)|Association for Computational Linguistics 2026, Ming Chen, Shi Gu, Wenyao Li, Chao Liang, Peng Lin, De Ma, Gang Pan, Hua...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/zju-bmi-lab/SPEAK)](https://github.com/zju-bmi-lab/SPEAK)|
|133|[SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures](https://doi.org/10.48448/h2dd-pn77)|Association for Computational Linguistics 2026, Xuezhi Cao, Hefei Chen, Peng Ding, Zehao Jin, Yilin Jin, XiaoYu Li, Zhe ...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/meituan-longcat/SOP-Maze)](https://github.com/meituan-longcat/SOP-Maze)|
|134|[SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual Learning](https://doi.org/10.48448/qe6k-4k87)|Association for Computational Linguistics 2026, Yusheng Liao, Yu Wang, Yanfeng Wang, Lina Yang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/alina1031/SLoRA)](https://github.com/alina1031/SLoRA)|
|135|[Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining](https://doi.org/10.48448/2sn7-kb34)|Association for Computational Linguistics 2026, Lu Cheng, Xiaofan Zhou|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/AlearZhou/CPCL)](https://github.com/AlearZhou/CPCL)|
|136|[Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators](https://doi.org/10.48550/arXiv.2503.06778)|Association for Computational Linguistics 2026, Jordan Boyd-Graber, Benjamin Evans, Feng Gu, Z Li, Ishani Mondal, Carlos...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Obertura777/gtd-data)](https://github.com/Obertura777/gtd-data)|
|137|[From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models](https://doi.org/10.48550/arxiv.2511.10899)|Association for Computational Linguistics 2026, Farima Fatahi Bayat, Estevam Hruschka, Pouya Pezeshkpour|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/megagonlabs/TIM)](https://github.com/megagonlabs/TIM)|
|138|[LLMSurgeon: Diagnosing Data Mixture of Large Language Models](https://doi.org/10.48448/nmhp-qw67)|Association for Computational Linguistics 2026, Xinyue Bi, Jiacheng Cui, Z Li, J R Liu, Yaxin Luo, Xinyi Shang, Zhiqiang...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Yaxin9Luo/LLMSurgeon)](https://github.com/Yaxin9Luo/LLMSurgeon)|
|139|[Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models](https://doi.org/10.48448/hb8d-vc65)|Association for Computational Linguistics 2026, Hongke Fu, Zhenfeng Gao, Tao Qi, Zichen Qin, Shangguang Wang, Yi-Xiang W...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/jinruiwang258/VideoMIA)](https://github.com/jinruiwang258/VideoMIA)|
|140|[Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders](https://doi.org/10.48448/hqp3-8z15)|Association for Computational Linguistics 2026, Lijie Hu, Difan Jiao, Chenye Zou|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/IAN-YE/Cultural-features-SAE)](https://github.com/IAN-YE/Cultural-features-SAE)|
|141|[Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models](https://doi.org/10.48550/arXiv.2604.10681)|Association for Computational Linguistics 2026, Long Bao Le, Vu Truong|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/tuanvu171/Critical-CoT)](https://github.com/tuanvu171/Critical-CoT)|
|142|[CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models](https://doi.org/10.48550/arxiv.2601.15628)|Association for Computational Linguistics 2026, Ruolin Chen, Lu Jia, Erliang Lin, Yinqian Sun, Haibo Tong, Zeyang Yue, Y...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Beijing-AISI/CogToM)](https://github.com/Beijing-AISI/CogToM)|
|143|[Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models](https://doi.org/10.48550/arXiv.2503.21380)|Association for Computational Linguistics 2026, Zhipeng Chen, Yingqian Min, Haoxiang Sun, Ji-Rong Wen, Xin Zhao|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/RUCAIBox/OlymMATH)](https://github.com/RUCAIBox/OlymMATH)|
|144|[Can Large Language Models Infer Causal Relationships from Real-World Text?](https://doi.org/10.48550/arXiv.2505.18931)|Association for Computational Linguistics 2026, Aman Chadha, Raha Moraffah, Oleg Pavlov, Ryan Saklad|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Ryan-Saklad/ReCITE)](https://github.com/Ryan-Saklad/ReCITE)|
|145|[CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models](https://doi.org/10.48448/w65r-py61)|Association for Computational Linguistics 2026, Guanhua Chen, Xiangchen Wang, Feng Zheng, Shengli Zhou|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/fz-zsl/CAPruner)](https://github.com/fz-zsl/CAPruner)|
|146|[Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models](https://doi.org/10.48448/837x-2915)|Association for Computational Linguistics 2026, Lei Hou, Juanzi Li, Nianyi Lin, Jiajie Zhang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/THU-KEG/BGPO)](https://github.com/THU-KEG/BGPO)|
|147|[BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models](https://doi.org/10.48550/arxiv.2605.05758)|Association for Computational Linguistics 2026, Meixi Du, Xin Gao, Peijia Qin, Pengtao Xie, Ruiyi Zhang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/gxx27/BioTool)](https://github.com/gxx27/BioTool)|
|148|[Efficient Context Representation for Large Language Model Analysis of Machine Code: Achieving 27% Cost Reduction with Minimal Quality Loss](https://doi.org/10.5281/zenodo.20533636)|Sushanth Tiruvaipati|2026-06-03|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/tsushanth/llm-machine-code-analysis)](https://github.com/tsushanth/llm-machine-code-analysis)|
|149|[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models](https://doi.org/10.48448/xw7s-yc67)|Association for Computational Linguistics 2026, Feihu Che, Mingkuan Feng, Zheng Lian, Chonghua Liao, Haoran Luo, Jianhua...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/jinyangwu/ThoughtICR)](https://github.com/jinyangwu/ThoughtICR)|
|150|[AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models](https://doi.org/10.48550/arxiv.2604.17377)|Association for Computational Linguistics 2026, Siije Cheng, Zhicheng Guo, Hui Huang, Zhanyu Shen, Yile Wang, W M Wang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/RayNeo-AI-2025/AnchorMem)](https://github.com/RayNeo-AI-2025/AnchorMem)|
|151|[Analysis of the Neglect-Zero Effect in Large Language Models](https://doi.org/10.48550/arxiv.2606.05864)|Association for Computational Linguistics 2026, Jin Tanaka|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ynklab/neglect_zero)](https://github.com/ynklab/neglect_zero)|
|152|[Aligning Large Language Models via Fully Self-Synthetic Data](https://doi.org/10.48448/rr3k-4584)|Association for Computational Linguistics 2026, Wei-Lin Chen, Yu Meng, Zhepei Wei, Shangjian Yin, Xinyu Zhu|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/SJY8460/SAO)](https://github.com/SJY8460/SAO)|
|153|[AI Steerability 360: A Toolkit for Steering Large Language Models](https://doi.org/10.48550/arxiv.2603.07837)|Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Irene Ko, Pierre Dognin, Moninder Singh, Tejaswini...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/IBM/AISteer360)](https://github.com/IBM/AISteer360)|
|154|[A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization](https://doi.org/10.48550/arXiv.2505.16094)|Association for Computational Linguistics 2026, Kaize Ding, Han Liu, Abhishek Pandey, Ziqing Wang, Yibo Wen, Kexin Zhang...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/REAL-Lab-NU/Awesome-LLM-Centric-Molecular-Discovery)](https://github.com/REAL-Lab-NU/Awesome-LLM-Centric-Molecular-Discovery)|
|155|[KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?](https://doi.org/10.48550/arxiv.2601.13240)|Association for Computational Linguistics 2026, Yihong Dong, Xue Jiang, Wenpin Jiao, Zhi Jin, C Li, Jia Li, Ge Li, Jiaru...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/jiangxxxue/KOCO-bench)](https://github.com/jiangxxxue/KOCO-bench)|
|156|[E2EDev: Benchmarking Large Language Models in End-to-End Software Development Task](https://doi.org/10.48448/7yzj-8306)|Association for Computational Linguistics 2026, Yang Deng, Zhizhao Guan, Chen Huang, Wenqiang Lei, Jingyao Liu|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/SCUNLP/E2EDev)](https://github.com/SCUNLP/E2EDev)|
|157|[Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective](https://doi.org/10.48550/arxiv.2604.23267)|Association for Computational Linguistics 2026, Soumi Das, Deepak Garg, Bishwamittra Ghosh, Krishna P. Gummadi, Mohammad...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/bishwamittra/formallm)](https://github.com/bishwamittra/formallm)|
|158|[Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning](https://doi.org/10.48550/arXiv.2604.11299)|Association for Computational Linguistics 2026, Yingji Li, Ruihua Qi, Lida Shi, Rui Song, Hao Xu|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/songruiecho/GEVO)](https://github.com/songruiecho/GEVO)|
|159|[G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning](https://doi.org/10.48448/cr71-pv89)|Association for Computational Linguistics 2026, Y Chen, Jiajie Hong, Yudai Pan, Xuequn Shang, Lingyun Song, Lingling Zha...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/HJJ-designed/G-HiRel)](https://github.com/HJJ-designed/G-HiRel)|
|160|[Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models](https://doi.org/10.48550/arXiv.2601.03265)|Association for Computational Linguistics 2026, Abhinav Aggarwal, Akash Bharadwaj, Li Chen, Matt Fredrikson, Eric Hsin, ...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/hukkai/jailbreak-zero)](https://github.com/hukkai/jailbreak-zero)|
|161|[Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models](https://doi.org/10.48448/2qvc-jv20)|Association for Computational Linguistics 2026, Zehua Duo, Guanglai Gao, Tian Lan, Ziming Li, Jiang Li, Xu Liu, Xiangdon...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/ty373/C-ISA)](https://github.com/ty373/C-ISA)|
|162|[Integrating Data Validation with Large Language Models for Regulation-Guided Tabular Anomaly Detection](https://doi.org/10.48448/3qxn-ja85)|Association for Computational Linguistics 2026, Zihuang Cai, Changjian Chen, Haoliang Huang, Kenli Li, Yifan Liu, Zhuo T...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/hnu-vis/RegValidator)](https://github.com/hnu-vis/RegValidator)|
|163|[IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation](https://doi.org/10.48550/arXiv.2604.15109)|Association for Computational Linguistics 2026, Jinhao Duan, Haozhi Fan, Kaidi Xu|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/louisfanhz/IUQ)](https://github.com/louisfanhz/IUQ)|
|164|[How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts](https://doi.org/10.48550/arXiv.2604.11133)|Association for Computational Linguistics 2026, Z Li, Thi Minh Vuong Nguyen, Fatemeh Shiri, Karin Verspoor|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/MinhVuong2000/ClinicNumRobBench)](https://github.com/MinhVuong2000/ClinicNumRobBench)|
|165|[Grouped Adaptive Weight Sharing (GAWS): An Inference-Efficient Adaptation Method for Large Language Models](https://doi.org/10.48448/exgq-ap40)|Association for Computational Linguistics 2026, Eman Alsuradi, Fahed Jubair, Hyeonmok Ko, Junhyun Lee, Kyeng-Hun Lee|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/SamsungLabs/GAWS)](https://github.com/SamsungLabs/GAWS)|
|166|[GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models](https://doi.org/10.48550/arXiv.2509.09438)|Association for Computational Linguistics 2026, Ziquan Liu, Ioannis Patras, Zhaohan Zhang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/petezone/Grace)](https://github.com/petezone/Grace)|
|167|[JailMeter: An Evidence-Based Evaluation Framework for Jailbreak Attacks on Large Language Models](https://doi.org/10.48550/arxiv.2607.19424)|Association for Computational Linguistics 2026, Qingjia Huang, Xiaoqi Jia, Y Li, Yankai Rong, Jianmin Wu, Junyi Yao, She...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/Magi2B0y/JailMeter)](https://github.com/Magi2B0y/JailMeter)|
|168|[From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation](https://doi.org/10.48448/893z-yq32)|Association for Computational Linguistics 2026, Sohrab Amirghodsi, Mang Chiu, Yun Fu, Xuan Shen, Yizhou Wang, Lingzhi Zh...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/wyzjack/Awesome-LLM-Visual-Segmentation)](https://github.com/wyzjack/Awesome-LLM-Visual-Segmentation)|
|169|[From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models](https://doi.org/10.48550/arxiv.2606.04381)|Chen Chu, Bita Azarijoo, Li Xiong, Khurram Shafique, Cyrus Shahabi|2026-06-03|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/chuchen2017/SLM)](https://github.com/chuchen2017/SLM)|
|170|[FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models](https://doi.org/10.48550/arxiv.2604.15488)|Association for Computational Linguistics 2026, Kunlin Cai, Ying Li, Yuan Tian, Peiran Wang, Zixuan Weng, Jinghuai Zhang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/YukinoAsuna/FineSteer)](https://github.com/YukinoAsuna/FineSteer)|
|171|[Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization Invariance](https://doi.org/10.48448/7ff4-y062)|Association for Computational Linguistics 2026, Yongshun Gong, Wei Liu, Weifeng Liu, Baodi Liu, Ao Wang, Xinghao Yang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/nohuma/AISafetytransferjailbreakRIGJ2026)](https://github.com/nohuma/AISafetytransferjailbreakRIGJ2026)|
|172|[FactSearch: An Interactive Fact Search and Claim-Level Verification System for Large Language Models](https://doi.org/10.48448/hy92-s041)|Association for Computational Linguistics 2026, Harry Mackenzie, Ling.Chen@uts.edu.au Meng Fang|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/aialt/factsearch)](https://github.com/aialt/factsearch)|
|173|[Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors](https://doi.org/10.48448/ds4t-sx33)|Association for Computational Linguistics 2026, Michael A. Hedderich, Lena Altinger, Yihong Liu, Hinrich Schuetze, Raoyu...|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/cisnlp/multypo)](https://github.com/cisnlp/multypo)|
|174|[Enrich, Aggregate, and Generate: Three-stage Biomedical Data-to-Text Generation Using Large Language Models in Low-resource Scenarios](https://doi.org/10.48448/brjh-na75)|Association for Computational Linguistics 2026, Yuang Bian, Yupian Lin, Hui Luo, Tong Ruan, Guangya Yu, Cheng Yuan|2026-06-03|Underline Science Inc.|[![Star](https://img.shields.io/github/stars/FXLP/EAG)](https://github.com/FXLP/EAG)|
|175|[Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment](https://doi.org/10.1109/tkde.2026.3699701)|Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, Xiangnan He|2026-06-02|IEEE Transactions on Knowledge and Data Engineering|[![Star](https://img.shields.io/github/stars/Peter-Fy/Reason4Rec)](https://github.com/Peter-Fy/Reason4Rec)|
|176|[Semantic-Qubit: Universal Quantum-Like Coherence in Large Language Models — From Hippocampal Pattern Separation to the Standard Model of Transformers](https://github.com/hafufu-stack/Semantic-Qubit)|Hiroto Funasaki|2026-06-02|Open MIND|[![Star](https://img.shields.io/github/stars/hatutu-stack/Semantic-Qubit)](https://github.com/hatutu-stack/Semantic-Qubit)|
|177|[ResMerge: Residual-based Spectral Merging of Large Language Models](https://doi.org/10.48550/arxiv.2606.02252)|Yandu Sun, Zhiyan Hou, Haokai Ma, Yuheng Jia, Junfeng Fang, Haiyun Guo, Hongyan An, weizhen wang, Jinqiao Wang|2026-06-01|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/sunyd0303-cpu/ResMerge-release)](https://github.com/sunyd0303-cpu/ResMerge-release)|
|178|[CistromeMeta: a large language model powered tool for automated ChIP-seq metadata extraction](https://doi.org/10.1093/bioinformatics/btag380)|Nicholas Piccaro, Myles Brown, Clifford Meyer|2026-06-01|Bioinformatics|[![Star](https://img.shields.io/github/stars/nickpiccaro/CistromeMetaX)](https://github.com/nickpiccaro/CistromeMetaX)|
|179|[MedLoCoMo: A Long-Context Multi-Session Medical Dialogue Benchmark for Large Language Models](https://doi.org/10.48550/arxiv.2607.22566)|Zeyu Zhang, Ziqing Wang, Kaize Ding|2026-05-31|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/leozzy13/MedLoCoMo)](https://github.com/leozzy13/MedLoCoMo)|
|180|[MiCU: End-to-End Smart Home Command Understanding with Large Language Model](https://doi.org/10.48550/arxiv.2606.01099)|Haowei Han, Kexin Hu, Weiwei Cai, Debiao Zhang, Bin Qin, Yuxiang Wang, Jiawei Jiang, Xiao Yan, Bo Du|2026-05-31|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/xiaomi-research/iot_spec_llm)](https://github.com/xiaomi-research/iot_spec_llm)|
|181|[Quality Challenges Do Not Escalate Source Fabrication in Large Language Models: A Pre-Registered Cross-Platform Factorial Study](https://doi.org/10.5281/zenodo.20474050)|Zoltan Varga|2026-05-31|Zenodo (CERN European Organization for Nuclear Research)|[![Star](https://img.shields.io/github/stars/glasseymour/rice-p1)](https://github.com/glasseymour/rice-p1)|
|182|[Establishing a Bidirectional Correspondence Table between the Japanese Standard Tables of Food Composition 2020 (8th Edition) and the USDA FoodData Central Using Large Language Mod..](https://doi.org/10.64898/2026.05.10.26352824)|Shinichi Nakagawa, Akira Yamamoto|2026-05-13|medRxiv|[![Star](https://img.shields.io/github/stars/shnkgw-rincom/jbfd-correspondence-table)](https://github.com/shnkgw-rincom/jbfd-correspondence-table)|
|183|[Rethinking Benchmark Comparability: A Survey of Reasoning Benchmarks for Large Language Models](https://doi.org/10.20944/preprints202605.0806.v1)|Chenyuan Zhang, Simin Liu, Hanjing Li, Te Gao, Yidi Wang, Qiguang Chen, Xiachong Feng, Li Cai, Mengnan Du, Zhuotao Tian,...|2026-05-13|Preprints.org|[![Star](https://img.shields.io/github/stars/chenyuanTKCY/Awesome-Benchmarks-for-LLM-Reasoning)](https://github.com/chenyuanTKCY/Awesome-Benchmarks-for-LLM-Reasoning)|
|184|[Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models](https://doi.org/10.48550/arxiv.2605.11726)|Yan Jiang, Ruihong Qiu, Zi Huang|2026-05-12|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/YanJiangJerry/Block-R1)](https://github.com/YanJiangJerry/Block-R1)|
|185|[Grid Games: The Power of Multiple Grids for Quantizing Large Language Models](https://doi.org/10.48550/arxiv.2605.12327)|Vage Egiazarian, Erik Schultheis, Andrei Panferov, Earl Killian, Torsten Hoefler, Dan Alistarh|2026-05-12|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/IST-DASLab/GridGames)](https://github.com/IST-DASLab/GridGames)|
|186|[Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models](https://doi.org/10.48550/arxiv.2605.12258)|Runhe Lai, Xinhua Lu, Yanqi Wu, Jinlun Ye, Weijiang Yu, Ruixuan Wang|2026-05-12|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/Fraserlairh/Instruction-Lens-Score)](https://github.com/Fraserlairh/Instruction-Lens-Score)|
|187|[TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models](https://doi.org/10.48550/arxiv.2605.09904)|Junzhe Chen, Siyuan Meng, Yuxi Chen, Man Zhao, Xiaojie Guo, Guo, Xiaojie|2026-05-11|ArXiv.org|[![Star](https://img.shields.io/github/stars/cjzcjz666/toc_bench)](https://github.com/cjzcjz666/toc_bench.git)|
|188|[ReAD: Reinforcement-Guided Capability Distillation for Large Language Models](https://doi.org/10.48550/arxiv.2605.11290)|Xueqi Cheng, Xugui Zhou, Tyler Derr, Yushun Dong|2026-05-11|arXiv (Cornell University)|[![Star](https://img.shields.io/github/stars/LabRAI/ReAD)](https://github.com/LabRAI/ReAD)|
|189|[MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph](https://doi.org/10.48550/arxiv.2605.10120)|Manyu Li, Ruian He, Chenxi Ma, Weimin Tan, Bo Yan|2026-05-11|ArXiv.org|[![Star](https://img.shields.io/github/stars/ieellee/MicroWorld)](https://github.com/ieellee/MicroWorld)|
|190|[M2A: Synergizing Mathematical and Agentic Reasoning in Large Language Models](https://doi.org/10.48550/arxiv.2605.09879)|Junjian Wang, Xin Zhou, Qiran Xu, Kun Zhan|2026-05-11|ArXiv.org|[![Star](https://img.shields.io/github/stars/laplucky/M2A)](https://github.com/laplucky/M2A.git)|
|191|[LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs](https://doi.org/10.48550/arxiv.2605.10401)|Zhinan Hou, Xingchen Li, Yankai Zhang, Taixin Li, Keyou You|2026-05-11|ArXiv.org|[![Star](https://img.shields.io/github/stars/hzn18/LLM4Branch)](https://github.com/hzn18/LLM4Branch)|
|192|[APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation](https://doi.org/10.48550/arxiv.2605.09492)|Tianyu Zheng, Hong Wu, Jiaji Zhong|2026-05-10|ArXiv.org|[![Star](https://img.shields.io/github/stars/zty-king/APCD)](https://github.com/zty-king/APCD)|
|193|[Decomposing and Steering Functional Metacognition in Large Language Models](https://doi.org/10.48550/arxiv.2605.08942)|Yihong Li, Xueru Bai, Shuman Liu, Haibo Zhang, Anxiang Zeng|2026-05-09|ArXiv.org|[![Star](https://img.shields.io/github/stars/xlands/meta-cognition)](https://github.com/xlands/meta-cognition)|
|194|[DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation](https://doi.org/10.48550/arxiv.2605.07314)|Xinchi Zou, Tongzhenzhi Su, Jianjun Li, Yuan Fu, Chang Liu, Zhiying Deng, Zhiwei Shen|2026-05-08|ArXiv.org|[![Star](https://img.shields.io/github/stars/XinchiZou/DCGL)](https://github.com/XinchiZou/DCGL)|
|195|[CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models](https://doi.org/10.48550/arxiv.2605.06341)|Thomas Bömer, Bastian Amberg, Max Disselnmeyer, Anne Meyer|2026-05-07|ArXiv.org|[![Star](https://img.shields.io/github/stars/tb-git-kit-research/CoupleEvo)](https://github.com/tb-git-kit-research/CoupleEvo)|
|196|[LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites](https://doi.org/10.48550/arxiv.2605.05615)|Lei Jiang, Adrian Ildefonso, Daniel Loveless, Fan Chen|2026-05-07|ArXiv.org|[![Star](https://img.shields.io/github/stars/UnchartedRLab/LLMSpace)](https://github.com/UnchartedRLab/LLMSpace)|
|197|[Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities](https://doi.org/10.32473/flairs.39.1.141803)|Elijah Needham, Denis Ulybyshev, Ayesha Dina|2026-05-06|Proceedings of the ... International Florida Artificial Intelligence Research Society Conference|[![Star](https://img.shields.io/github/stars/ayeshasdina/KA-LLM-CVE)](https://github.com/ayeshasdina/KA-LLM-CVE)|
|198|[Discovering Reinforcement Learning Interfaces with Large Language Models](https://doi.org/10.48550/arxiv.2605.03408)|Akshat Singh Jaswal, Ashish Baghel, Paras Chopra|2026-05-05|ArXiv.org|[![Star](https://img.shields.io/github/stars/Lossfunk/LIMEN)](https://github.com/Lossfunk/LIMEN)|
|199|[Can Multimodal Large Language Models Understand Pathologic Movements? A Pilot Study on Seizure Semiology](https://doi.org/10.48550/arxiv.2605.03352)|Lina Zhang, Tonmoy Monsoor, Mehmet E. Lorasdagi, Prateik Sinha, Chong Han, Peizheng Li, Yuan Wang, Jessica Pasqua, Colin...|2026-05-05|ArXiv.org|[![Star](https://img.shields.io/github/stars/LinaZhangUCLA/PathMotionMLLM)](https://github.com/LinaZhangUCLA/PathMotionMLLM)|
|200|[AUG: AnInteractive Tool for Clarifying and Generating UML Models based on Large Language Models](https://doi.org/10.6084/m9.figshare.27230958.v1)|佳 卢|2026-05-05|Figshare|[![Star](https://img.shields.io/github/stars/XIAOLingQ/AUG)](https://github.com/XIAOLingQ/AUG)|

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