@inproceedings{limsopatham2021effectively,
  title={Effectively leveraging BERT for legal document classification},
  author={Limsopatham, Nut},
  booktitle={Proceedings of the Natural Legal Language Processing Workshop 2021},
  pages={210--216},
  year={2021}
}

@article{yasunaga2023large,
  title={Large language models as analogical reasoners},
  author={Yasunaga, Michihiro and Chen, Xinyun and Li, Yujia and Pasupat, Panupong and Leskovec, Jure and Liang, Percy and Chi, Ed H and Zhou, Denny},
  journal={arXiv preprint arXiv:2310.01714},
  year={2023}
}




@article{sun2023text,
  title={Text Classification via Large Language Models},
  author={Sun, Xiaofei and Li, Xiaoya and Li, Jiwei and Wu, Fei and Guo, Shangwei and Zhang, Tianwei and Wang, Guoyin},
  journal={arXiv preprint arXiv:2305.08377},
  year={2023}
}

@article{yao2024tree,
  title={Tree of thoughts: Deliberate problem solving with large language models},
  author={Yao, Shunyu and Yu, Dian and Zhao, Jeffrey and Shafran, Izhak and Griffiths, Tom and Cao, Yuan and Narasimhan, Karthik},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  year={2024}
}

@inproceedings{liu2022interpretable,
    author    = {Yilun Liu and
                 Shimin Tao and
                 Weibin Meng and
                 Jingyu Wang and
                 Wenbing Ma and
                 Yuhang Chen and
                 Yanqing Zhao and
                 Hao Yang and
                 Yanfei Jiang},
    title     = {Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies},
    booktitle = {Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)},
    editor    = {C{\^o}t{\'e}, Marc-Alexandre and
                 Yuan, Xingdi and
                 Ammanabrolu, Prithviraj},
    month     = jul,
    year      = {2022},
    address   = {Seattle, United States},
    publisher = {Association for Computational Linguistics},
    url       = {https://aclanthology.org/2022.wordplay-1.0},
}

@inproceedings{lu2022dynamic,
  title={Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning},
  author={Lu, Pan and Qiu, Liang and Chang, Kai-Wei and Wu, Ying Nian and Zhu, Song-Chun and Rajpurohit, Tanmay and Clark, Peter and Kalyan, Ashwin},
  booktitle={The Eleventh International Conference on Learning Representations},
  year={2022}
}

@article{wei2022chain,
  title={Chain-of-thought prompting elicits reasoning in large language models},
  author={Wei, Jason and Wang, Xuezhi and Schuurmans, Dale and Bosma, Maarten and Xia, Fei and Chi, Ed and Le, Quoc V and Zhou, Denny and others},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={24824--24837},
  year={2022}
}

@article{wang2022rationale,
  title={Rationale-augmented ensembles in language models},
  author={Wang, Xuezhi and Wei, Jason and Schuurmans, Dale and Le, Quoc and Chi, Ed and Zhou, Denny},
  journal={arXiv preprint arXiv:2207.00747},
  year={2022}
}

@inproceedings{brinner2023model,
  title={Model Interpretability and Rationale Extraction by Input Mask Optimization},
  author={Brinner, Marc and Zarrie{\ss}, Sina},
  booktitle={Findings of the Association for Computational Linguistics: ACL 2023},
  pages={13722--13744},
  year={2023}
}


@inproceedings{liu2022makes,
  title={What Makes Good In-Context Examples for GPT-3?},
  author={Liu, Jiachang and Shen, Dinghan and Zhang, Yizhe and Dolan, William B and Carin, Lawrence and Chen, Weizhu},
  booktitle={Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures},
  pages={100--114},
  year={2022}
}

@article{zhang2023diverse,
  title={Diverse legal case search},
  author={Zhang, Ruizhe and Ai, Qingyao and Wu, Yueyue and Ma, Yixiao and Liu, Yiqun},
  journal={arXiv preprint arXiv:2301.12504},
  year={2023}
}

@article{yu2022legal,
  title={Legal prompting: Teaching a language model to think like a lawyer},
  author={Yu, Fangyi and Quartey, Lee and Schilder, Frank},
  journal={arXiv preprint arXiv:2212.01326},
  year={2022}
}

@inproceedings{held-habernal-2024-legalreasoning, 
title = {{SemEval-2024 Task 5: Argument Reasoning in Civil Procedure}}, 
author = {Held, Lena and Habernal, Ivan}, 
year = 2024, 
month = jun, 
booktitle = {Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)}, 
publisher = {Association for Computational Linguistics}, 
address = {Mexico City, Mexico} 
}


@inproceedings{kuppa2023chain,
  title={Chain of reference prompting helps llm to think like a lawyer},
  author={Kuppa, Aditya and Rasumov-Rahe, Nikon and Voses, Marc},
  booktitle={Generative AI+ Law Workshop},
  year={2023}
}


@article{chalkidis2023chatgpt,
  title={ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmark},
  author={Chalkidis, Ilias},
  journal={arXiv preprint arXiv:2304.12202},
  year={2023}
}

@article{blair2023can,
  title={Can GPT-3 perform statutory reasoning?},
  author={Blair-Stanek, Andrew and Holzenberger, Nils and Van Durme, Benjamin},
  journal={arXiv preprint arXiv:2302.06100},
  year={2023}
}


@article{touvron2023llama,
  title={Llama 2: Open foundation and fine-tuned chat models},
  author={Touvron, Hugo and Martin, Louis and Stone, Kevin and Albert, Peter and Almahairi, Amjad and Babaei, Yasmine and Bashlykov, Nikolay and Batra, Soumya and Bhargava, Prajjwal and Bhosale, Shruti and others},
  journal={arXiv preprint arXiv:2307.09288},
  year={2023}
}


@inproceedings{bongard2022legal,
  title={The Legal Argument Reasoning Task in Civil Procedure},
  author={Bongard, Leonard and Held, Lena and Habernal, Ivan},
  booktitle={Proceedings of the Natural Legal Language Processing Workshop 2022},
  pages={194--207},
  year={2022}
}

@article{chung2022scaling,
  title={Scaling instruction-finetuned language models},
  author={Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Yunxuan and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and others},
  journal={arXiv preprint arXiv:2210.11416},
  year={2022}
}


@article{guha2024legalbench,
  title={Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models},
  author={Guha, Neel and Nyarko, Julian and Ho, Daniel and R{\'e}, Christopher and Chilton, Adam and Chohlas-Wood, Alex and Peters, Austin and Waldon, Brandon and Rockmore, Daniel and Zambrano, Diego and others},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  year={2024}
}


@article{martinez2023survey,
  title={A survey on legal question--answering systems},
  author={Martinez-Gil, Jorge},
  journal={Computer Science Review},
  volume={48},
  pages={100552},
  year={2023},
  publisher={Elsevier}
}

@article{valvoda2023role,
  title={On the role of negative precedent in legal outcome prediction},
  author={Valvoda, Josef and Cotterell, Ryan and Teufel, Simone},
  journal={Transactions of the Association for Computational Linguistics},
  volume={11},
  pages={34--48},
  year={2023},
  publisher={MIT Press}
}

@article{wang2023maud,
  title={MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding},
  author={Wang, Steven H and Scardigli, Antoine and Tang, Leonard and Chen, Wei and Levkin, Dimitry and Chen, Anya and Ball, Spencer and Woodside, Thomas and Zhang, Oliver and Hendrycks, Dan},
  journal={arXiv preprint arXiv:2301.00876},
  year={2023}
}

@inproceedings{chalkidis2020legal,
  title={LEGAL-BERT: The Muppets straight out of Law School},
  author={Chalkidis, Ilias and Fergadiotis, Manos and Malakasiotis, Prodromos and Aletras, Nikolaos and Androutsopoulos, Ion},
  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020},
  pages={2898--2904},
  year={2020}
}

@inproceedings{kien2020answering,
  title={Answering legal questions by learning neural attentive text representation},
  author={Kien, Phi Manh and Nguyen, Ha-Thanh and Bach, Ngo Xuan and Tran, Vu and Le Nguyen, Minh and Phuong, Tu Minh},
  booktitle={Proceedings of the 28th International Conference on Computational Linguistics},
  pages={988--998},
  year={2020}
}

@inproceedings{ryu2023retrieval,
  title={Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA},
  author={Ryu, Cheol and Lee, Seolhwa and Pang, Subeen and Choi, Chanyeol and Choi, Hojun and Min, Myeonggee and Sohn, Jy-Yong},
  booktitle={Proceedings of the Natural Legal Language Processing Workshop 2023},
  pages={132--137},
  year={2023}
}

@inproceedings{khazaeli2021free,
  title={A free format legal question answering system},
  author={Khazaeli, Soha and Punuru, Janardhana and Morris, Chad and Sharma, Sanjay and Staub, Bert and Cole, Michael and Chiu-Webster, Sunny and Sakalley, Dhruv},
  booktitle={Proceedings of the Natural Legal Language Processing Workshop 2021},
  pages={107--113},
  year={2021}
}

@inproceedings{kien2020answering,
  title={Answering legal questions by learning neural attentive text representation},
  author={Kien, Phi Manh and Nguyen, Ha-Thanh and Bach, Ngo Xuan and Tran, Vu and Le Nguyen, Minh and Phuong, Tu Minh},
  booktitle={Proceedings of the 28th International Conference on Computational Linguistics},
  pages={988--998},
  year={2020}
}

@inproceedings{vihikan2021automatic,
  title={Automatic resolution of domain name disputes},
  author={Vihikan, Wayan Oger and Mistica, Meladel and Levy, Inbar and Christie, Andrew and Baldwin, Timothy},
  booktitle={Proceedings of the Natural Legal Language Processing Workshop 2021},
  pages={228--238},
  year={2021}
}


@inproceedings{li2022detecting,
  title={Detecting Relevant Differences Between Similar Legal Texts},
  author={Li, Xiang and Gao, Jiaxun and Inkpen, Diana and Alschner, Wolfgang},
  booktitle={Proceedings of the Natural Legal Language Processing Workshop 2022},
  pages={256--264},
  year={2022}
}


@inproceedings{poudyal2020echr,
  title={ECHR: Legal corpus for argument mining},
  author={Poudyal, Prakash and {\v{S}}avelka, Jarom{\'\i}r and Ieven, Aagje and Moens, Marie Francine and Goncalves, Teresa and Quaresma, Paulo},
  booktitle={Proceedings of the 7th Workshop on Argument Mining},
  pages={67--75},
  year={2020}
}


@inproceedings{masala2021jurbert,
  title={jurBERT: A Romanian BERT model for legal judgement prediction},
  author={Masala, Mihai and Iacob, Radu Cristian Alexandru and Uban, Ana Sabina and Cidota, Marina and Velicu, Horia and Rebedea, Traian and Popescu, Marius},
  booktitle={Proceedings of the Natural Legal Language Processing Workshop 2021},
  pages={86--94},
  year={2021}
}

@article{liu2019roberta,
  title={Roberta: A robustly optimized bert pretraining approach},
  author={Liu, Yinhan and Ott, Myle and Goyal, Naman and Du, Jingfei and Joshi, Mandar and Chen, Danqi and Levy, Omer and Lewis, Mike and Zettlemoyer, Luke and Stoyanov, Veselin},
  journal={arXiv preprint arXiv:1907.11692},
  year={2019}
}


@inproceedings{de2023bb25hlegalsum,
  title={BB25HLegalSum: Leveraging BM25 and BERT-Based Clustering for the Summarization of Legal Documents},
  author={de Andrade, Leonardo and Becker, Karin},
  booktitle={Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing},
  pages={255--263},
  year={2023}
}

@inproceedings{yu2023exploring,
  title={Exploring the effectiveness of prompt engineering for legal reasoning tasks},
  author={Yu, Fangyi and Quartey, Lee and Schilder, Frank},
  booktitle={Findings of the Association for Computational Linguistics: ACL 2023},
  pages={13582--13596},
  year={2023}
}



@inproceedings{juan2023custodiai,
  title={CustodiAI: A System for Predicting Child Custody Outcomes},
  author={Juan, Yining and Chen, Chung-Chi and Chen, Hsin-Hsi and Wang, Daw-Wei},
  booktitle={Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations},
  pages={10--16},
  year={2023}
}
