🧑‍🔬 Daniel E. Ho — all works

34 works · ← Daniel E. Ho

1. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsarXiv:2401.01301 · Journal of Legal Analysis 16, no. 1 (2024): 64-93Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 437 citations
2. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 271 citations
3. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset ↗arXiv:2104.08671 · no summary yetLucia Zheng et al.2021 · 134 citations
4. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset ↗arXiv:2207.00220 · no summary yetPeter Henderson et al.2022 · 133 citations
5. MultiLegalPile: A 689GB Multilingual Legal Corpus ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJoel Niklaus et al.2024 · 98 citations
6. Context-Aware Legal Citation Recommendation using Deep Learning ↗arXiv:2106.10776 · no summary yetZihan Huang et al.2021 · 57 citations
7. A Reasoning-Focused Legal Retrieval BenchmarkarXiv:2505.03970Lucia Zheng, Neel Guha, Javokhir Arifov, et al.2025 · 55 citations
8. Considerations for governing open foundation models ↗Science · no summary yetRishi Bommasani et al.2024 · 36 citations
9. On the Societal Impact of Open Foundation Models ↗arXiv (Cornell University) · no summary yetSayash Kapoor et al.2024 · 30 citations
10. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
11. Language models cannot reliably distinguish belief from knowledge and fact ↗Nature Machine Intelligence · no summary yetMirac Süzgün et al.2025 · 28 citations
12. LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning ↗arXiv:2209.06120 · no summary yetNeel Guha et al.2022 · 27 citations
13. Advancing science- and evidence-based AI policy ↗Science · no summary yetRishi Bommasani et al.2025 · 25 citations
14. Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models ↗arXiv (Cornell University) · no summary yetAndy K. Zhang et al.2024 · 22 citations
15. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research ↗neural information processing systems · no summary yetA. Feder Cooper et al.2025 · 17 citations
16. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗SSRN Electronic Journal · no summary yetA. Feder Cooper et al.2025 · 12 citations
17. 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
18. Belief in the Machine: Investigating Epistemological Blind Spots of Language Models ↗arXiv (Cornell University) · no summary yetMirac Süzgün et al.2024 · 12 citations
19. Extracting memorized pieces of (copyrighted) books from open-weight language models ↗SSRN Electronic Journal · no summary yetMark A. Lemley et al.2025 · 11 citations
20. AI Regulation Has Its Own Alignment Problem: The Technical and Institutional Feasibility of Disclosure, Registration, Licensing, and Auditing ↗bepress Legal Repository · no summary yetNeel Guha et al.2024 · 8 citations
21. Statistical Uncertainty in Word Embeddings: GloVe-V ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetAndrea Vallebueno et al.2024 · 7 citations
22. Position: On the Societal Impact of Open Foundation Models ↗ANU Open Research (Australian National University) · no summary yetSayash Kapoor et al.2024 · 6 citations
23. AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County ↗arXiv:2503.03888 · no summary yetFaiz Surani et al.2025 · 3 citations
24. Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys ↗arXiv:2603.03300 · no summary yetMohamed Afane et al.2026 · 1 citation
25. Extractable Memorization From First Principles ↗SSRN Electronic Journal · no summary yetA. Feder Cooper et al.2026 · 1 citation
26. There is no free benchmark: An institutional view of legal AI benchmarking ↗Proceedings of the National Academy of Sciences · no summary yetNeel Guha et al.2026 · 1 citation
27. The California Report on Frontier AI Policy ↗arXiv (Cornell University) · no summary yetRishi Bommasani et al.2025 · 1 citation
28. Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing ↗arXiv (Cornell University) · no summary yetJustin W. Lin et al.2025 · 1 citation
29. Estimating near-verbatim extraction risk in language models with decoding-constrained beam search ↗arXiv (Cornell University) · no summary yetA. Feder Cooper et al.2026
30. At the boundary: Law and AI ↗Proceedings of the National Academy of Sciences · no summary yetDaniel E. Ho et al.2026
31. Verifiable, Articulable, and Tacit Components of Preference ↗arXiv (Cornell University) · no summary yetAlexander Spangher et al.2026
32. Evaluating Commercial AI Chatbots as News Intermediaries ↗arXiv (Cornell University) · no summary yetMirac Süzgün et al.2026
33. MobileCybench: Evaluating Agent Vulnerability Discovery via Executable Probes ↗arXiv (Cornell University) · no summary yetAndy K. Zhang et al.2026
34. Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives ↗neural information processing systems · no summary yetSarah Huiyi Cen et al.2025

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