---
title: "Daniel E. Ho — all works — Elamur Research"
description: "All 34 works of Daniel E. Ho in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/daniel-e-ho/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daniel-e-ho/works/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Daniel E. Ho](https://md.research.elamur.ai/free/en/authors/daniel-e-ho/) / all works

# Daniel E. Ho — all works

34 works · [← Daniel E. Ho](https://md.research.elamur.ai/free/en/authors/daniel-e-ho/)

1. [**Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models arXiv:2401.01301 · Journal of Legal Analysis 16, no. 1 (2024): 64-93**Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.*2024 · 437 citations*](https://md.research.elamur.ai/free/en/papers/dahl-2024-large-legal-fictions-profiling-legal/)
2. [**Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools arXiv:2405.20362**Varun Magesh, Faiz Surani, Matthew Dahl, et al.*2024 · 271 citations*](https://md.research.elamur.ai/free/en/papers/magesh-2024-hallucination-free-assessing-reliability-leading/)
3. **[When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset ↗](https://arxiv.org/abs/2104.08671) arXiv:2104.08671 · no summary yet**Lucia Zheng et al.*2021 · 134 citations*
4. **[Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset ↗](https://arxiv.org/abs/2207.00220) arXiv:2207.00220 · no summary yet**Peter Henderson et al.*2022 · 133 citations*
5. **[MultiLegalPile: A 689GB Multilingual Legal Corpus ↗](https://aclanthology.org/2024.acl-long.805/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Joel Niklaus et al.*2024 · 98 citations*
6. **[Context-Aware Legal Citation Recommendation using Deep Learning ↗](https://doi.org/10.1145/3462757.3466066) arXiv:2106.10776 · no summary yet**Zihan Huang et al.*2021 · 57 citations*
7. [**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/)
8. **[Considerations for governing open foundation models ↗](https://doi.org/10.1126/science.adp1848) Science · no summary yet**Rishi Bommasani et al.*2024 · 36 citations*
9. **[On the Societal Impact of Open Foundation Models ↗](https://arxiv.org/abs/2403.07918) arXiv (Cornell University) · no summary yet**Sayash Kapoor et al.*2024 · 30 citations*
10. [**One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support arXiv:2306.09237**Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/stern-2023-one-law-many-languages-benchmarking/)
11. **[Language models cannot reliably distinguish belief from knowledge and fact ↗](https://doi.org/10.1038/s42256-025-01113-8) Nature Machine Intelligence · no summary yet**Mirac Süzgün et al.*2025 · 28 citations*
12. **[LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning ↗](https://arxiv.org/abs/2209.06120) arXiv:2209.06120 · no summary yet**Neel Guha et al.*2022 · 27 citations*
13. **[Advancing science- and evidence-based AI policy ↗](https://doi.org/10.1126/science.adu8449) Science · no summary yet**Rishi Bommasani et al.*2025 · 25 citations*
14. **[Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models ↗](https://arxiv.org/abs/2408.08926) arXiv (Cornell University) · no summary yet**Andy K. Zhang et al.*2024 · 22 citations*
15. **[Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research ↗](https://doi.org/10.52202/085713-2990) neural information processing systems · no summary yet**A. Feder Cooper et al.*2025 · 17 citations*
16. **[Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗](https://doi.org/10.2139/ssrn.5060253) SSRN Electronic Journal · no summary yet**A. Feder Cooper et al.*2025 · 12 citations*
17. **[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*
18. **[Belief in the Machine: Investigating Epistemological Blind Spots of Language Models ↗](https://arxiv.org/abs/2410.21195) arXiv (Cornell University) · no summary yet**Mirac Süzgün et al.*2024 · 12 citations*
19. **[Extracting memorized pieces of (copyrighted) books from open-weight language models ↗](https://doi.org/10.2139/ssrn.5262084) SSRN Electronic Journal · no summary yet**Mark 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 ↗](https://openalex.org/W7167856760) bepress Legal Repository · no summary yet**Neel Guha et al.*2024 · 8 citations*
21. **[Statistical Uncertainty in Word Embeddings: GloVe-V ↗](https://aclanthology.org/2024.emnlp-main.510/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Andrea Vallebueno et al.*2024 · 7 citations*
22. **[Position: On the Societal Impact of Open Foundation Models ↗](https://openalex.org/W7135318688) ANU Open Research (Australian National University) · no summary yet**Sayash Kapoor et al.*2024 · 6 citations*
23. **[AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County ↗](https://arxiv.org/abs/2503.03888) arXiv:2503.03888 · no summary yet**Faiz Surani et al.*2025 · 3 citations*
24. **[Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys ↗](https://arxiv.org/abs/2603.03300) arXiv:2603.03300 · no summary yet**Mohamed Afane et al.*2026 · 1 citation*
25. **[Extractable Memorization From First Principles ↗](https://doi.org/10.2139/ssrn.7118018) SSRN Electronic Journal · no summary yet**A. Feder Cooper et al.*2026 · 1 citation*
26. **[There is no free benchmark: An institutional view of legal AI benchmarking ↗](https://doi.org/10.1073/pnas.2509757122) Proceedings of the National Academy of Sciences · no summary yet**Neel Guha et al.*2026 · 1 citation*
27. **[The California Report on Frontier AI Policy ↗](https://arxiv.org/abs/2506.17303) arXiv (Cornell University) · no summary yet**Rishi Bommasani et al.*2025 · 1 citation*
28. **[Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing ↗](https://arxiv.org/abs/2512.09882) arXiv (Cornell University) · no summary yet**Justin W. Lin et al.*2025 · 1 citation*
29. **[Estimating near-verbatim extraction risk in language models with decoding-constrained beam search ↗](https://arxiv.org/abs/2603.24917) arXiv (Cornell University) · no summary yet**A. Feder Cooper et al.*2026*
30. **[At the boundary: Law and AI ↗](https://doi.org/10.1073/pnas.2606704123) Proceedings of the National Academy of Sciences · no summary yet**Daniel E. Ho et al.*2026*
31. **[Verifiable, Articulable, and Tacit Components of Preference ↗](https://arxiv.org/abs/2610.03025) arXiv (Cornell University) · no summary yet**Alexander Spangher et al.*2026*
32. **[Evaluating Commercial AI Chatbots as News Intermediaries ↗](https://arxiv.org/abs/2605.22785) arXiv (Cornell University) · no summary yet**Mirac Süzgün et al.*2026*
33. **[MobileCybench: Evaluating Agent Vulnerability Discovery via Executable Probes ↗](https://arxiv.org/abs/2609.23980) arXiv (Cornell University) · no summary yet**Andy K. Zhang et al.*2026*
34. **[Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives ↗](https://doi.org/10.52202/085713-0135) neural information processing systems · no summary yet**Sarah Huiyi Cen et al.*2025*