Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval

Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval. Kim, J., Korikov, A., Liang, J., Cui, J., Liu, Y. S., Wen, Q., Zhao, M., & Sanner, S. In Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL-26), San Diego, USA, 2026. Association for Computational Linguistics.

Paper bibtex 10 downloads

@inproceedings{sanner:acl26b,
      title={Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval}, 
      author={Junyoung Kim and Anton Korikov and Jiazhou Liang and Justin Cui and Yifan Simon Liu and Qianfeng Wen and Mark Zhao and Scott Sanner},
      booktitle = {Findings of the 64th Annual Meeting of the Association for Computational Linguistics ({ACL}-26)},
      address = {San Diego, USA},
      publisher = {Association for Computational Linguistics},
      year={2026},
      url_paper={https://ssanner.github.io/papers/acl26_bagel.pdf}, 
}

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