% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").

@article{xie2023survey,
  title={A survey for biomedical text summarization: From pre-trained to large language models},
  url={https://arxiv.org/pdf/2304.08763},
  author={Xie, Qianqian and Luo, Zheheng and Wang, Benyou and Ananiadou, Sophia},
  journal={arXiv preprint arXiv:2304.08763},
  year={2023}
}

@misc{xie2023surveybiomedicaltextsummarization,
      title={A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models}, 
      author={Qianqian Xie and Zheheng Luo and Benyou Wang and Sophia Ananiadou},
      year={2023},
      eprint={2304.08763},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2304.08763}, 
}

@article{tang2023evaluating,
  title={Evaluating large language models on medical evidence summarization},
  author={Tang, Liyan and Sun, Zhaoyi and Idnay, Betina and Nestor, Jordan G and Soroush, Ali and Elias, Pierre A and Xu, Ziyang and Ding, Ying and Durrett, Greg and Rousseau, Justin F and others},
  journal={NPJ digital medicine},
  url={https://www.nature.com/articles/s41746-023-00896-7},
  volume={6},
  number={1},
  pages={158},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@misc{asai2023selfraglearningretrievegenerate,
      title={Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection}, 
      author={Akari Asai and Zeqiu Wu and Yizhong Wang and Avirup Sil and Hannaneh Hajishirzi},
      year={2023},
      eprint={2310.11511},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2310.11511}, 
}



@inproceedings{balde2024medvoc,
  title={MEDVOC: vocabulary adaptation for fine-tuning pre-trained language models on medical text summarization},
  url={https://dl.acm.org/doi/abs/10.24963/ijcai.2024/683},
  author={Balde, Gunjan and Roy, Soumyadeep and Mondal, Mainack and Ganguly, Niloy},
  booktitle={Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence},
  pages={6180--6188},
  year={2024}
}

@article{hosseini2024leveraging,
  title={Leveraging large language models for clinical abbreviation disambiguation},
  author={Hosseini, Manda and Hosseini, Mandana and Javidan, Reza},
  url={https://link.springer.com/article/10.1007/s10916-024-02049-z},
  journal={Journal of medical systems},
  volume={48},
  number={1},
  pages={27},
  year={2024},
  publisher={Springer}
}

@inproceedings{fan2024survey,
  title={A survey on rag meeting llms: Towards retrieval-augmented large language models},
  author={Fan, Wenqi and Ding, Yujuan and Ning, Liangbo and Wang, Shijie and Li, Hengyun and Yin, Dawei and Chua, Tat-Seng and Li, Qing},
  url={https://dl.acm.org/doi/abs/10.1145/3637528.3671470},
  booktitle={Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={6491--6501},
  year={2024}
}

@article{pu2023summarization,
  title={Summarization is (almost) dead},
  author={Pu, Xiao and Gao, Mingqi and Wan, Xiaojun},
  journal={arXiv preprint arXiv:2309.09558},
  url={https://arxiv.org/pdf/2309.09558},
  year={2023}
}

@misc{pu2023summarizationalmostdead,
      title={Summarization is (Almost) Dead}, 
      author={Xiao Pu and Mingqi Gao and Xiaojun Wan},
      year={2023},
      eprint={2309.09558},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2309.09558}, 
}

@article{chaves2022automatic,
  title={Automatic text summarization of biomedical text data: a systematic review},
  url={https://www.mdpi.com/2078-2489/13/8/393},
  author={Chaves, Andrea and Kesiku, Cyrille and Garcia-Zapirain, Begonya},
  journal={Information},
  volume={13},
  number={8},
  pages={393},
  year={2022},
  publisher={MDPI}
}

@article{wang2021systematic,
  title={A systematic review of automatic text summarization for biomedical literature and EHRs},
  author={Wang, Mengqian and Wang, Manhua and Yu, Fei and Yang, Yue and Walker, Jennifer and Mostafa, Javed},
  url={https://academic.oup.com/jamia/article-abstract/28/10/2287/6335523?login=false},
  journal={Journal of the American Medical Informatics Association},
  volume={28},
  number={10},
  pages={2287--2297},
  year={2021},
  publisher={Oxford University Press}
}


@inproceedings{NEURIPS2020_6b493230,
 author = {Lewis, Patrick and Perez, Ethan and Piktus, Aleksandra and Petroni, Fabio and Karpukhin, Vladimir and Goyal, Naman and K\"{u}ttler, Heinrich and Lewis, Mike and Yih, Wen-tau and Rockt\"{a}schel, Tim and Riedel, Sebastian and Kiela, Douwe},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
 pages = {9459--9474},
 publisher = {Curran Associates, Inc.},
 title = {Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks},
 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/6b493230205f780e1bc26945df7481e5-Paper.pdf},
 volume = {33},
 year = {2020}
}

@article{yadav2022chq,
  title={Chq-summ: A dataset for consumer healthcare question summarization},
  url={https://arxiv.org/pdf/2206.06581},
  author={Yadav, Shweta and Gupta, Deepak and Demner-Fushman, Dina},
  journal={arXiv preprint arXiv:2206.06581},
  year={2022}
}

@misc{yadav2022chqsummdatasetconsumerhealthcare,
      title={CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization}, 
      author={Shweta Yadav and Deepak Gupta and Dina Demner-Fushman},
      year={2022},
      eprint={2206.06581},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2206.06581}, 
}

@inproceedings{yuan2022biobart,
  title={BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model},
  author={Yuan, Hongyi and Yuan, Zheng and Gan, Ruyi and Zhang, Jiaxing and Xie, Yutao and Yu, Sheng},
  booktitle={Proceedings of the 21st Workshop on Biomedical Language Processing},
  pages={97--109},
  year={2022}
}

@article{chen2024bge,
  title={Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation},
  url={https://arxiv.org/pdf/2402.03216},
  author={Chen, Jianlv and Xiao, Shitao and Zhang, Peitian and Luo, Kun and Lian, Defu and Liu, Zheng},
  journal={arXiv preprint arXiv:2402.03216},
  year={2024}
}

@misc{chen2024bgem3embeddingmultilingualmultifunctionality,
      title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation}, 
      author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},
      year={2024},
      eprint={2402.03216},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2402.03216}, 
}

@misc{qwen2.5,
    title = {Qwen2.5: A Party of Foundation Models},
    url = {https://qwenlm.github.io/blog/qwen2.5/},
    author = {Qwen Team},
    month = {September},
    year = {2024}
}

@article{robertson2009probabilistic,
  title={The probabilistic relevance framework: BM25 and beyond},
  author={Robertson, Stephen and Zaragoza, Hugo and others},
  journal={Foundations and Trends{\textregistered} in Information Retrieval},
  url={https://www.nowpublishers.com/article/Details/INR-019},
  volume={3},
  number={4},
  pages={333--389},
  year={2009},
  publisher={Now Publishers, Inc.}
}


@misc{bm25s,
      title={BM25S: Orders of magnitude faster lexical search via eager sparse scoring}, 
      author={Xing Han Lù},
      url={https://arxiv.org/pdf/2407.03618},
      year={2024},
      eprint={2407.03618},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2407.03618}, 
}

@article{oord2018representation,
  title={Representation learning with contrastive predictive coding},
  url={https://arxiv.org/pdf/1807.03748},
  author={Oord, Aaron van den and Li, Yazhe and Vinyals, Oriol},
  journal={arXiv preprint arXiv:1807.03748},
  year={2018}
}

@misc{oord2019representationlearningcontrastivepredictive,
      title={Representation Learning with Contrastive Predictive Coding}, 
      author={Aaron van den Oord and Yazhe Li and Oriol Vinyals},
      year={2019},
      eprint={1807.03748},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/1807.03748}, 
}

@article{hu2022lora,
  title={Lora: Low-rank adaptation of large language models.},
  author={Hu, Edward J and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu and others},
  url = {https://arxiv.org/pdf/2106.09685v1/1000},
  journal={ICLR},
  volume={1},
  number={2},
  pages={3},
  year={2022}
}