Neel Guha
PhD, Computer Science, Stanford University
JD, Stanford Law School
nguha [AT] cs.stanford.edu
Publications
Please find all publications on my Google Scholar.
* denotes equal contributions.
AI Regulation Has Its Own Alignment Problem: The Technical and Institutional Feasibility of Disclosure, Registration, Licensing, and Auditing PDF Policy Brief
Neel Guha*, Christie M. Lawrence*, Lindsey A. Gailmard, Kit T. Rodolfa, Faiz Surani, Rishi Bommasani, Inioluwa Deborah Raji, Mariano-Florentino Cuéllar, Colleen Honigsberg, Percy Liang, Daniel E. Ho
George Washington Law Review Symposium on Legally Disruptive Emerging Technologies (forthcoming 2025)
A Reasoning-Focused Legal Retrieval Benchmark
Lucia Zheng, Neel Guha, Javokhir Arifov, Sarah R. Zhang, Michal Zhang, Michal Skreta, Christopher D. Manning, Peter Henderson, Daniel E. Ho
4th ACM Symposium on Computer Science and Law (forthcoming 2025)
Understanding Liability Risk from Using Health Care Artificial Intelligence Tools PDF Policy Brief
Michelle M. Mello, Neel Guha
New England Journal of Medicine (2024)
Featured in Emergency Department Management, Stanford HAI, Politico, and Stanford Scope.
Smoothie: Label Free Language Model Routing PDF Code Blog
Neel Guha*, Mayee F. Chen*, Trevor Chow, Ishan S. Khare, Christopher Ré
Advances in Neural Information Processing Systems (2024)
Private Enforcement in the States PDF
Diego Zambrano, Neel Guha, Austin Peters, Jeffrey Xia
University of Pennsylvania Law Review (2024)
Featured in Volokh Conspiracy and Law360.
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models PDF Code Website
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 Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael 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
Advances in Neural Information Processing Systems (Datasets and Benchmarks Track) (2023)
Featured in Gizmodo and New Scientist.
AI Regulation Has Its Own Alignment Problem: The Technical and Institutional Feasibility of Disclosure, Registration, Licensing, and Auditing PDF Policy Brief
Neel Guha*, Christie M. Lawrence*, Lindsey A. Gailmard, Kit T. Rodolfa, Faiz Surani, Rishi Bommasani, Inioluwa Deborah Raji, Mariano-Florentino Cuéllar, Colleen Honigsberg, Percy Liang, Daniel E. Ho
George Washington Law Review Symposium on Legally Disruptive Emerging Technologies (forthcoming 2025)
Understanding Liability Risk from Using Health Care Artificial Intelligence Tools PDF Policy Brief
Michelle M. Mello, Neel Guha
New England Journal of Medicine (2024)
Featured in Emergency Department Management, Stanford HAI, Politico, and Stanford Scope.
Private Enforcement in the States PDF
Diego Zambrano, Neel Guha, Austin Peters, Jeffrey Xia
University of Pennsylvania Law Review (2024)
Featured in Volokh Conspiracy and Law360.
Building GenAI Benchmarks: A Case Study in Legal Applications PDF
Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré
The Oxford Handbook on the Foundations and Regulation of Generative AI (2024)
Gamesmanship in Modern Discovery Tech PDF
Diego Zambrano, Neel Guha, Peter Henderson
Legal Tech and the Future of Civil Justice (2023)
Vulnerabilities in Discovery Tech PDF
Neel Guha, Peter Henderson, Diego Zambrano
Harvard Journal of Law & Technology (2022)
A Reasoning-Focused Legal Retrieval Benchmark
Lucia Zheng, Neel Guha, Javokhir Arifov, Sarah R. Zhang, Michal Zhang, Michal Skreta, Christopher D. Manning, Peter Henderson, Daniel E. Ho
4th ACM Symposium on Computer Science and Law (forthcoming 2025)
Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks PDF Code Website
Tianyi Zhang*, Linrong Cai*, Jeffrey Li, Nicholas Roberts, Neel Guha, Frederic Sala
Advances in Neural Information Processing Systems (Datasets and Benchmarks Track) (2024)
Workshop on Data-Centric Machine Learning Research at ICML (2024)
Smoothie: Label Free Language Model Routing PDF Code Blog
Neel Guha*, Mayee F. Chen*, Trevor Chow, Ishan S. Khare, Christopher Ré
Advances in Neural Information Processing Systems (2024)
Archon: An Architecture Search Framework for Inference-Time Techniques PDF Code
Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Guha, E. Kelly Buchanan, Mayee Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
Preprint (2024)
Open Problems in Technical AI Governance PDF
Anka Reuel*, Ben Bucknall*, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager
Preprint (2024)
Prospector Heads: Generalized Feature Attribution for Large Models & Data PDF Code
Gautam Machiraju, Alexander Derry, Arjun Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ Altman, Christopher Ré, Parag Mallick
International Conference on Machine Learning (2024)
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT PDF Code Blog
Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
International Conference on Machine Learning (2024)
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models PDF Code Website
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 Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael 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
Advances in Neural Information Processing Systems (Datasets and Benchmarks Track) (2023)
Featured in Gizmodo and New Scientist.
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification PDF Code Blog
Neel Guha*, Mayee F. Chen*, Kush Bhatia*, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Advances in Neural Information Processing Systems (2023)
Don't Use a Cannon to Kill a Fly: An Efficient Cascading Pipeline for Long Documents PDF
Zehua Li, Neel Guha, Julian Nyarko
International Conference on AI and Law (2023)
Holistic Evaluation of Language Models PDF Website
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Alexander Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew Arad Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Transactions on Machine Learning Research (2023)
Ask Me Anything: A Simple Strategy for Prompting Language Models PDF Code
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
International Conference on Learning Representations (2023)
Spotlight
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning PDF
Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré
Preprint (2022)
Pile of Law: Learning Responsible Data Filtering from the Law and a 256gb Open-source Legal Dataset PDF Code Website
Peter Henderson*, Mark Krass*, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel Ho
Advances in Neural Information Processing Systems (2022)
Oral Presentation
Featured in Bloomberg Law, Stanford HAI, and FiveThirtyEight.
On the Opportunities and Risks of Foundation Models PDF
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 Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora 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 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 Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang
ArXiv (2021)
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset PDF Code
Lucia Zheng*, Neel Guha*, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
International Conference on AI and Law (2021)
Carole Hafner Award for Best Paper
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy PDF
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
ACM Conference on Fairness, Accountability, and Transparency (2021)
Featured in Wall Street Journal.
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation PDF Code Website Blog
Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré
Conference on Innovative Data Systems Research (2021)
Machine Learning for AC Optimal Power Flow PDF
Neel Guha, Zhecheng Wang, Matt Wytock, Arun Majumdar
Climate Change Workshop at the International Conference on Machine Learning (2019)
Honorable Mention for Best Paper
One-Shot Federated Learning PDF
Neel Guha, Ameet Talwalkar, Virginia Smith
2nd Workshop on Machine Learning on the Phone and other Consumer Devices at Neural Information Processing Systems (2019)
Oral Presentation
AI Regulation Has Its Own Alignment Problem: The Technical and Institutional Feasibility of Disclosure, Registration, Licensing, and Auditing PDF Policy Brief
Neel Guha*, Christie M. Lawrence*, Lindsey A. Gailmard, Kit T. Rodolfa, Faiz Surani, Rishi Bommasani, Inioluwa Deborah Raji, Mariano-Florentino Cuéllar, Colleen Honigsberg, Percy Liang, Daniel E. Ho
George Washington Law Review Symposium on Legally Disruptive Emerging Technologies(forthcoming 2025)
A Reasoning-Focused Legal Retrieval Benchmark
Lucia Zheng, Neel Guha, Javokhir Arifov, Sarah R. Zhang, Michal Zhang, Michal Skreta, Christopher D. Manning, Peter Henderson, Daniel E. Ho
4th ACM Symposium on Computer Science and Law(forthcoming 2025)
Understanding Liability Risk from Using Health Care Artificial Intelligence Tools PDF Policy Brief
Michelle M. Mello, Neel Guha
New England Journal of Medicine(2024)
Featured in Emergency Department Management, Stanford HAI, Politico, and Stanford Scope.
Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks PDF Code Website
Tianyi Zhang*, Linrong Cai*, Jeffrey Li, Nicholas Roberts, Neel Guha, Frederic Sala
Advances in Neural Information Processing Systems (Datasets and Benchmarks Track)(2024)
Workshop on Data-Centric Machine Learning Research at ICML (2024)
Smoothie: Label Free Language Model Routing PDF Code Blog
Neel Guha*, Mayee F. Chen*, Trevor Chow, Ishan S. Khare, Christopher Ré
Advances in Neural Information Processing Systems(2024)
Private Enforcement in the States PDF
Diego Zambrano, Neel Guha, Austin Peters, Jeffrey Xia
University of Pennsylvania Law Review(2024)
Featured in Volokh Conspiracy and Law360.
Archon: An Architecture Search Framework for Inference-Time Techniques PDF Code
Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Guha, E. Kelly Buchanan, Mayee Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
Preprint(2024)
Open Problems in Technical AI Governance PDF
Anka Reuel*, Ben Bucknall*, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager
Preprint(2024)
Prospector Heads: Generalized Feature Attribution for Large Models & Data PDF Code
Gautam Machiraju, Alexander Derry, Arjun Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ Altman, Christopher Ré, Parag Mallick
International Conference on Machine Learning(2024)
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT PDF Code Blog
Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
International Conference on Machine Learning(2024)
Building GenAI Benchmarks: A Case Study in Legal Applications PDF
Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré
The Oxford Handbook on the Foundations and Regulation of Generative AI(2024)
Gamesmanship in Modern Discovery Tech PDF
Diego Zambrano, Neel Guha, Peter Henderson
Legal Tech and the Future of Civil Justice(2023)
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models PDF Code Website
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 Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael 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
Advances in Neural Information Processing Systems (Datasets and Benchmarks Track)(2023)
Featured in Gizmodo and New Scientist.
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification PDF Code Blog
Neel Guha*, Mayee F. Chen*, Kush Bhatia*, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Advances in Neural Information Processing Systems(2023)
Don't Use a Cannon to Kill a Fly: An Efficient Cascading Pipeline for Long Documents PDF
Zehua Li, Neel Guha, Julian Nyarko
International Conference on AI and Law(2023)
Holistic Evaluation of Language Models PDF Website
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Alexander Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew Arad Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Transactions on Machine Learning Research(2023)
Ask Me Anything: A Simple Strategy for Prompting Language Models PDF Code
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
International Conference on Learning Representations(2023)
Spotlight
Vulnerabilities in Discovery Tech PDF
Neel Guha, Peter Henderson, Diego Zambrano
Harvard Journal of Law & Technology(2022)
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning PDF
Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré
Preprint(2022)
Pile of Law: Learning Responsible Data Filtering from the Law and a 256gb Open-source Legal Dataset PDF Code Website
Peter Henderson*, Mark Krass*, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel Ho
Advances in Neural Information Processing Systems(2022)
Oral Presentation
Featured in Bloomberg Law, Stanford HAI, and FiveThirtyEight.
On the Opportunities and Risks of Foundation Models PDF
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 Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora 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 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 Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang
ArXiv(2021)
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset PDF Code
Lucia Zheng*, Neel Guha*, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
International Conference on AI and Law(2021)
Carole Hafner Award for Best Paper
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy PDF
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
ACM Conference on Fairness, Accountability, and Transparency(2021)
Featured in Wall Street Journal.
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation PDF Code Website Blog
Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré
Conference on Innovative Data Systems Research(2021)
Machine Learning for AC Optimal Power Flow PDF
Neel Guha, Zhecheng Wang, Matt Wytock, Arun Majumdar
Climate Change Workshop at the International Conference on Machine Learning(2019)
Honorable Mention for Best Paper
One-Shot Federated Learning PDF
Neel Guha, Ameet Talwalkar, Virginia Smith
2nd Workshop on Machine Learning on the Phone and other Consumer Devices at Neural Information Processing Systems(2019)
Oral Presentation