--- title: "Lucia Zheng · Stanford University — author profile and papers" description: "Lucia Zheng, Stanford University: 3 papers on Elamur Research (2021–2025), h-index 6 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/lucia-zheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lucia-zheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lucia Zheng # Lucia Zheng Lucia Zheng has 3 papers in our library, in 2021–2025, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Daniel E. Ho](https://md.research.elamur.ai/free/en/authors/daniel-e-ho/), [Neel Guha](https://md.research.elamur.ai/free/en/authors/neel-guha/), [Peter Henderson](https://md.research.elamur.ai/free/en/authors/peter-henderson/). 3 papers in our library · 2021–2025 [OpenAlex](https://openalex.org/A5052391231) · [ORCID](https://orcid.org/0000-0002-8602-0007) · [**h-index 6**](https://openalex.org/authors/A5052391231) · [15 works](https://openalex.org/works?filter=author.id:A5052391231) · [2,550 citations](https://openalex.org/works?filter=author.id:A5052391231&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lucia-zheng/#papers) · [🔗 Cited 2,101 times in our library](https://md.research.elamur.ai/free/en/authors/lucia-zheng/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5370](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5370) 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=Lucia+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lucia+Zheng) · [dblp](https://dblp.org/search?q=Lucia+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Lucia+Zheng) ## Affiliations [🎓**Stanford University** Stanford · United States 2021–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Johns Hopkins University** Baltimore · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 3 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Political Science and International Relations · 3 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Legal AI · 3 works](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lucia-zheng/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/lucia-zheng/year/2022/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/lucia-zheng/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset](https://md.research.elamur.ai/free/en/papers/zheng-2021-pretraining-help-assessing-self-supervised/)** *(2021 · 134 citations)* Earlier attempts to pretrain Transformers on legal text gave little or no improvement over general-purpose BERT. 2. **[Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset](https://md.research.elamur.ai/free/en/papers/henderson-2022-pile-law-learning-responsible-data/)** *(2022 · 133 citations)* Teams that pretrain large language models remove private or toxic text in inconsistent, improvised ways and usually ignore context. 3. **[A Reasoning-Focused Legal Retrieval Benchmark](https://md.research.elamur.ai/free/en/papers/zheng-2025-reasoning-focused-legal-retrieval-benchmark/)** *(2025 · 55 citations)* Legal AI tools increasingly pair LLMs with retrievers over case law and statutes, but realistic English benchmarks for testing such pipelines are scarce. ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations* 2. [**When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset arXiv:2104.08671**Lucia Zheng, Neel Guha, Brandon R. Anderson, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-pretraining-help-assessing-self-supervised/) 3. **[Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset](https://md.research.elamur.ai/free/en/papers/henderson-2022-pile-law-learning-responsible-data/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Peter Henderson, Mark S. Krass, Lucia Zheng, et al.*2022 · 133 citations* 4. [**A Reasoning-Focused Legal Retrieval Benchmark arXiv:2505.03970**Lucia Zheng, Neel Guha, Javokhir Arifov, et al.*2025 · 55 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2025-reasoning-focused-legal-retrieval-benchmark/) 5. **[NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps ↗](https://aclanthology.org/2024.naacl-long.331/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Kristina Gligorić et al.*2024 · 13 citations* 6. **[LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain ↗](https://aclanthology.org/2025.findings-naacl.7/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Joel Niklaus et al.*2025 · 12 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Daniel E. Ho](https://md.research.elamur.ai/free/en/authors/daniel-e-ho/) ×3 - [Neel Guha](https://md.research.elamur.ai/free/en/authors/neel-guha/) ×3 - [Peter Henderson](https://md.research.elamur.ai/free/en/authors/peter-henderson/) ×3 - [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) ×2 - [Dan Jurafsky](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) - Findings of the Association for Computational Linguistics: NAACL 2025 - Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 2,101 times (of the 149,439 papers whose bibliographies we read); [465 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lucia-zheng/cited-by/). Updated 2 November 2026