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Large language models (LLMs) have demonstrated strong capabilities in various aspects.
China’s new civil law
Henry R Zheng · 1986
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A revision of bloom’s taxonomy: An overview
David R Krathwohl · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Deep reinforcement learning from human preferences
Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei · 2017
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Estimation of gap between current language models and human performance
Xiaoyu Shen, Youssef Oualil, Clayton Greenberg, Mittul Singh, and Dietrich Klakow · 2017
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Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman · 2018
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Legal judgment prediction via topological learning
Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, and Maosong Sun · 2018
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Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman · 2019
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Legal-bert: The muppets straight out of law school
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos · 2020
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2020
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
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Clue: A chinese language understanding evaluation benchmark
Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, et al · 2020
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Jec-qa: a legal-domain question answering dataset
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Learning fine-grained fact-article correspondence in legal cases
Jidong Ge, Yunyun Huang, Xiaoyu Shen, Chuanyi Li, and Wei Hu · 2021
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Dependency learning for legal judgment prediction with a unified text-to-text transformer
Yunyun Huang, Xiaoyu Shen, Chuanyi Li, Jidong Ge, and Bin Luo · 2021
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Codexglue: A machine learning benchmark dataset for code understanding and generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, et al · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le · 2021
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Lawformer: A pre-trained language model for chinese legal long documents
Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, Cunchao Tu, and Maosong Sun · 2021
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Michael Bommarito II and Daniel Martin Katz · 2022
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Lexglue: A benchmark dataset for legal language understanding in english
Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael Bommarito, Ion Androutsopoulos, Daniel Katz, and Nikolaos Aletras · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
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A survey on legal judgment prediction: Datasets, metrics, models and challenges
Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, and Yulong Chen · 2022
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GLM: General language model pretraining with autoregressive blank infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang · 2022
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A multi-task benchmark for korean legal language understanding and judgement prediction
Wonseok Hwang, Dongjun Lee, Kyoungyeon Cho, Hanuhl Lee, and Minjoon Seo · 2022
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Holistic evaluation of language models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, et al · 2022
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A statutory article retrieval dataset in french
Antoine Louis and Gerasimos Spanakis · 2022
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Introducing chatgpt, 2022
OpenAI · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Product answer generation from heterogeneous sources: A new benchmark and best practices
Xiaoyu Shen, Gianni Barlacchi, Marco Del Tredici, Weiwei Cheng, Bill Byrne, and Adrià de Gispert · 2022
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semipqa: A study on product question answering over semi-structured data
Xiaoyu Shen, Gianni Barlacchi, Marco Del Tredici, Weiwei Cheng, and Adrià de Gispert · 2022
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Low-resource dense retrieval for open-domain question answering: A comprehensive survey
Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, and Adrià de Gispert · 2022
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Cmmlu: Measuring massive multitask language understanding in chinese
Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, and Timothy Baldwin · 2023
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Lawgpt: Chinese legal dialogue large language model
Hongcheng Liu, Yusheng Liao, Yutong Meng, and Yuhao Wang · 2023
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Mmbench: Is your multi-modal model an all-around player?
Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, et al · 2023
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Finding the law: Enhancing statutory article retrieval via graph neural networks
Antoine Louis, Gijs Van Dijck, and Gerasimos Spanakis · 2023
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DisentQA: Disentangling parametric and contextual knowledge with counterfactual question answering
Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, and Omri Abend · 2023
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Hui Su, Xiao Zhou, Houjin Yu, Xiaoyu Shen, Yuwen Chen, Zilin Zhu, Yang Yu, and Jie Zhou · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V Le, Ed H Chi, Denny Zhou, , and Jason Wei · 2022
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Transformer memory as a differentiable search index
Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, et al · 2022
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Leven: A large-scale chinese legal event detection dataset
Feng Yao, Chaojun Xiao, Xiaozhi Wang, Zhiyuan Liu, Lei Hou, Cunchao Tu, Juanzi Li, Yun Liu, Weixing Shen, and Maosong Sun · 2022
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Glm-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, et al · 2022
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Mdia: A benchmark for multilingual dialogue generation in 46 languages
Qingyu Zhang, Xiaoyu Shen, Ernie Chang, Jidong Ge, and Pengke Chen · 2022
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Mucgec: a multi-reference multi-source evaluation dataset for chinese grammatical error correction
Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, and Min Zhang · 2022
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https://github.com/pengxiao-song/LaWGPT , 2023
Lawgpt · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Arb: Advanced reasoning benchmark for large language models
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Pretraining on the test set is all you need
Rylan Schaeffer · 2023
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xPQA: Cross-lingual product question answering in 12 languages
Xiaoyu Shen, Akari Asai, Bill Byrne, and Adria De Gispert · 2023
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Neural ranking with weak supervision for open-domain question answering: A survey
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al · 2023
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Moss: Training conversational language models from synthetic data
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Internlm: A multilingual language model with progressively enhanced capabilities
InternLM Team · 2023
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Llama: Open and efficient foundation language models
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Large language models in cryptocurrency securities cases: Can chatgpt replace lawyers?
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Cmb: A comprehensive medical benchmark in chinese
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fuzi.mingcha
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Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, and Yu Su · 2023
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Kola: Carefully benchmarking world knowledge of large language models
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, et al · 2023
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Generate rather than retrieve: Large language models are strong context generators
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Disc-lawllm: Fine-tuning large language models for intelligent legal services, 2023
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Fineval: A chinese financial domain knowledge evaluation benchmark for large language models
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Evaluating the performance of large language models on gaokao benchmark
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Domain specialization as the key to make large language models disruptive: A comprehensive survey
XUJIANG ZHAO, JIAYING LU, CHENGYUAN DENG, CAN ZHENG, JUNXIANG WANG, TANMOY CHOWDHURY, LI YUN, HEJIE CUI, ZHANG XUCHAO, TIANJIAO ZHAO, et al · 2023
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Agieval: A human-centric benchmark for evaluating foundation models
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Large language models are built-in autoregressive search engines
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