Elamur Research⌕
☰
home / papers / Lawyer LLaMA Technical Report / cited by

Who cites «Lawyer LLaMA Technical Report»

116 papers of our library cite it (of the 140,884 whose bibliographies we read) · 6 with a page here, the most cited first · ← the paper

  1. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  2. Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts ArchitectureJiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan2023 · 246 citations
  3. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  4. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  5. CLASE: A Hybrid Method for Chinese Legalese Stylistic EvaluationYiran Rex Ma, Yuxiao Ye, Huiyuan Xie2026 · 1 citation
  6. AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from ScratchMitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026

110 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/huang-2023-lawyer-llama-technical-report/cited-by/