🧑‍🔬 Lucia Zheng

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2021–2026 · 8 paperscurrent🎓Johns Hopkins UniversityBaltimore · United States2024–2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset (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 (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 (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 ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
2. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD DatasetarXiv:2104.08671Lucia Zheng, Neel Guha, Brandon R. Anderson, et al.2021 · 134 citations
3. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal DatasetConference on Neural Information Processing Systems (NeurIPS)Peter Henderson, Mark S. Krass, Lucia Zheng, et al.2022 · 133 citations
4. A Reasoning-Focused Legal Retrieval BenchmarkarXiv:2505.03970Lucia Zheng, Neel Guha, Javokhir Arifov, et al.2025 · 55 citations
5. NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps ↗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 yetKristina Gligorić et al.2024 · 13 citations
6. LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetJoel Niklaus et al.2025 · 12 citations

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Daniel E. Ho ×3
• Neel Guha ×3
• Peter Henderson ×3
• Christopher D. Manning ×2
• 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): NeurIPS 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 →.

Updated 2 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/lucia-zheng/