21 citations · 29 across the 11 of their papers we have counts for
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cs.CL2023★ 1 cited
BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues
Haodong Duan, Jueqi Wei, Chonghua Wang +5
Interacting with human via high-quality multi-turn dialogues is a key feature of large language models (LLMs). However, human-based evaluation of such capability involves intensive…
cs.CL2023★ 21 cited
LawBench: Benchmarking Legal Knowledge of Large Language Models
Zhiwei Fei, Xiaoyu Shen, Dawei Zhu +6
Large language models (LLMs) have demonstrated strong capabilities in various aspects. However, when applying them to the highly specialized, safe-critical legal domain, it is uncl…