AdaSearch

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This includes the original implementation of "AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning".

AdaSearch 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning
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[📄 **Paper**](https://arxiv.org/abs/2512.16883) · [🤗 **Models**](https://huggingface.co/collections/hank0316/adasearch)

**AdaSearch** is a two-stage inference and reinforcement learning framework for LLM-based search agents, which disentangles search-invocation decision-making from problem solving and optimizes them independently.

Compared to prior work, AdaSearch selectively invokes search, provides transparent decision rationales for user auditing, and achieves stronger self-knowledge awareness, while preserving QA performance.

If you find our code, data, models, or the paper useful, please cite the paper:
```bibtex
@misc{lin2025adasearchbalancingparametricknowledge,
      title={AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning}, 
      author={Tzu-Han Lin and Wei-Lin Chen and Chen-An Li and Hung-yi Lee and Yun-Nung Chen and Yu Meng},
      year={2025},
      eprint={2512.16883},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2512.16883}, 
}
```

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## News
* 2025/12/20: add README.md, models, and artifacts.

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AdaSearch

AdaSearch 최신버젼 다운로드

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