--- title: "Fengzhe Zhou — author profile and papers — Elamur Research" description: "Fengzhe Zhou: 2 papers on Elamur Research (2023–2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/fengzhe-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fengzhe-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fengzhe Zhou # Fengzhe Zhou Fengzhe Zhou has 2 papers in our library, in 2023–2024, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/), [Jidong Ge](https://md.research.elamur.ai/free/en/authors/jidong-ge/), [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5102636896) · [**h-index 4**](https://openalex.org/authors/A5102636896) · [9 works](https://openalex.org/works?filter=author.id:A5102636896) · [160 citations](https://openalex.org/works?filter=author.id:A5102636896&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fengzhe-zhou/#papers) · [🔗 Cited 599 times in our library](https://md.research.elamur.ai/free/en/authors/fengzhe-zhou/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5735](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5735) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Fengzhe+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fengzhe+Zhou) · [dblp](https://dblp.org/search?q=Fengzhe+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Fengzhe+Zhou) ## Affiliations [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2023–2024 · 6 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Law · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) 🧭 Topics 1 Research subjects and languages the work is about.[Legal AI · 2 works](https://md.research.elamur.ai/free/en/topics/legal-ai/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/fengzhe-zhou/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/fengzhe-zhou/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LawBench: Benchmarking Legal Knowledge of Large Language Models](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/)** *(2023 · 186 citations)* Existing legal benchmarks for LLMs mostly target English-language common-law systems (US, EU) or bar-exam-style questions. 2. **[InternLM-Law: An Open Source Chinese Legal Large Language Model](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/)** *(2024 · 9 citations)* General-purpose LLMs often fail on Chinese legal questions, and earlier Chinese legal models were narrow, consultation-oriented, and built on older backbones. ## All works 5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**LawBench: Benchmarking Legal Knowledge of Large Language Models arXiv:2309.16289**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.*2023 · 186 citations*](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/) 2. **[LawBench: Benchmarking Legal Knowledge of Large Language Models ↗](https://aclanthology.org/2024.emnlp-main.452/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhiwei Fei et al.*2024 · 103 citations* 3. **[InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning ↗](https://arxiv.org/abs/2402.06332) arXiv:2402.06332 · no summary yet**Huaiyuan Ying et al.*2024 · 90 citations* 4. **[MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark ↗](https://aclanthology.org/2024.findings-acl.411/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Hongwei Liu et al.*2024 · 70 citations* 5. [**InternLM-Law: An Open Source Chinese Legal Large Language Model arXiv:2406.14887**Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/) ## Co-authors here 11 co-authors with a page, the most papers together first. - [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/) ×2 - [Jidong Ge](https://md.research.elamur.ai/free/en/authors/jidong-ge/) ×2 - [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/) ×2 - [Songyang Zhang](https://md.research.elamur.ai/free/en/authors/songyang-zhang/) ×2 - [Xiaoyu Shen](https://md.research.elamur.ai/free/en/authors/xiaoyu-shen/) ×2 - [Zhiwei Fei](https://md.research.elamur.ai/free/en/authors/zhiwei-fei/) ×2 - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) - [Maosong Cao](https://md.research.elamur.ai/free/en/authors/maosong-cao/) - [Wenwei Zhang](https://md.research.elamur.ai/free/en/authors/wenwei-zhang/) - [Xiao Wang](https://md.research.elamur.ai/free/en/authors/xiao-wang/) - [Yining Li](https://md.research.elamur.ai/free/en/authors/yining-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Findings of the Association for Computational Linguistics: ACL 2024 - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 599 times (of the 149,439 papers whose bibliographies we read); [134 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fengzhe-zhou/cited-by/). Updated 30 October 2026