LegalAgentBench: Evaluating LLM Agents in Legal Domain
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Open Access
- 1 January 2025
- conference paper
- Published by Association for Computational Linguistics (ACL)
- p. 2322-2344
Abstract
Haitao Li, Junjie Chen, Jingli Yang, Qingyao Ai, Wei Jia, Youfeng Liu, Kai Lin, Yueyue Wu, Guozhi Yuan, Yiran Hu, Wuyue Wang, Yiqun Liu, Minlie Huang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.Keywords
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This publication has 6 references indexed in Scilit:
- BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific ModelsProceedings of the AAAI Conference on Artificial Intelligence, 2025
- DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word AlignmentProceedings of the AAAI Conference on Artificial Intelligence, 2025
- CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges2025
- AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents2024
- LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models2024
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face2023