Daniel E. Ho

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 53

Top Topics

Satellite Imagery

Legal Reasoning

Top Venues

Publications

Kevin Wu, Eric Wu, Kit T. Rodolfa, Daniel E. Ho, James Zou
Regulating AI Adaptation: An Analysis of AI Medical Device Updates. CoRR (2024)
Kevin Wu, Eric Wu, Ally Cassasola, Angela Zhang, Kevin Wei, Teresa Nguyen, Sith Riantawan, Patricia Shi Riantawan, Daniel E. Ho, James Zou
How well do LLMs cite relevant medical references? An evaluation framework and analyses. CoRR (2024)
Varun Magesh, Faiz Surani, Matthew Dahl, Mirac Suzgun, Christopher D. Manning, Daniel E. Ho
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools. CoRR (2024)
Sebastian Quaade, Andrea Vallebueno, Olivia D. N. Alcabes, Kit T. Rodolfa, Daniel E. Ho
Locating and measuring marine aquaculture production from space: a computer vision approach in the French Mediterranean. CoRR (2024)
Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan
On the Societal Impact of Open Foundation Models. CoRR (2024)
Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf
Mitigating allocative tradeoffs and harms in an environmental justice data tool. Nat. Mac. Intell. 6 (2) (2024)
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. SaTML (2024)
Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher D. Manning
FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning. CoRR (2024)
Andrea Vallebueno, Cassandra Handan-Nader, Christopher D. Manning, Daniel E. Ho
Statistical Uncertainty in Word Embeddings: GloVe-V. CoRR (2024)
Matthew Dahl, Varun Magesh, Mirac Suzgun, Daniel E. Ho
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models. CoRR (2024)
Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf
Potential for allocative harm in an environmental justice data tool. CoRR (2023)
Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. CoRR (2023)
Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. EAAMO (2023)
Ben Chugg, Peter Henderson, Jacob Goldin, Daniel E. Ho
Entropy Regularization for Population Estimation. AAAI (2023)
Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR (2023)
Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. AAAI (2023)
Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho
MultiLegalPile: A 689GB Multilingual Legal Corpus. CoRR (2023)
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. CoRR (2023)
Lingwei Cheng, Isabel O. Gallegos, Derek Ouyang, Jacob Goldin, Daniel E. Ho
How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved. FAccT (2023)
Cory McCartan, Jacob Goldin, Daniel E. Ho, Kosuke Imai
Estimating Racial Disparities When Race is Not Observed. CoRR (2023)
Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya K, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS (2023)
Vishvaksenan Rasiah, Ronja Stern, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, Joel Niklaus
SCALE: Scaling up the Complexity for Advanced Language Model Evaluation. CoRR (2023)
Ben Chugg, Nicolas Rothbacher, Alex Feng, Xiaoqi Long, Daniel E. Ho
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act. CIKM (2022)
Ben Chugg, Nicolas Rothbacher, Alex Feng, Xiaoqi Long, Daniel E. Ho
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act. CoRR (2022)
Ben Chugg, Peter Henderson, Jacob Goldin, Daniel E. Ho
Entropy Regularization for Population Estimation. CoRR (2022)
Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg, Daniel E. Ho
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance. CoRR (2022)
Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. NeurIPS (2022)
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. CoRR (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4 (10) (2022)
Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg, Daniel E. Ho
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance. AIES (2022)
Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. CoRR (2022)
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho
Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy. CSLAW (2022)
Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning. CoRR (2022)
Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. CoRR (2022)
Elinor Benami, Reid Whitaker, Vincent La, Hongjin Lin, Brandon R. Anderson, Daniel E. Ho
The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy. FAccT (2021)
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. CoRR (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Lisa Lu, Benjamin Anderson, Raymond Ha, Alexis D'Agostino, Sarah L. Rudman, Derek Ouyang, Daniel E. Ho
A language-matching model to improve equity and efficiency of COVID-19 contact tracing. Proc. Natl. Acad. Sci. USA 118 (43) (2021)
Ben Chugg, Brandon R. Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms. CoRR (2021)
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. COMPASS (2021)
Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Daniel E. Ho, Mark S. Krass, Matthias Grabmair
Context-Aware Legal Citation Recommendation using Deep Learning. CoRR (2021)
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53, 000+ legal holdings. ICAIL (2021)
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. FAccT (2021)
Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho
Beyond Ads: Sequential Decision-Making Algorithms in Public Policy. CoRR (2021)
Ben Chugg, Brandon R. Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho
Enhancing environmental enforcement with near real-time monitoring: Likelihood-based detection of structural expansion of intensive livestock farms. Int. J. Appl. Earth Obs. Geoinformation 103 (2021)
Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Daniel E. Ho, Mark S. Krass, Matthias Grabmair
Context-aware legal citation recommendation using deep learning. ICAIL (2021)
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
Mapping industrial poultry operations at scale with deep learning and aerial imagery. CoRR (2021)
Ben Chugg, Daniel E. Ho
Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits. CoRR (2021)
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset. CoRR (2021)
Daniel E. Ho, Alice Xiang
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness. CoRR (2020)
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. CoRR (2020)
Kristen M. Altenburger, Daniel E. Ho
Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews. WWW (2019)