Course specific search engines: a study in incorporating context into search. - Neel Guha (ESAIR, 2013)

Spy Watch: A Tool for Transparency in Web Tracking. - Neel Guha (PrivOn@ISWC, 2013)

Course-specific search engines: semi-automated methods for identifying high quality topic-specific corpora. - Neel Guha; Matt Wytock (WWW (Companion Volume), 2013)

Tutoring from the desktop: facilitating learning through Google+ hangouts. - Neel Guha (WWW (Companion Volume), 2014)

Semantic Identification Attacks on Web Browsing. - Neel Guha (CoRR, 2016)

Behavioral Tracing of Twitter Accounts. - Neel Guha (PrivOn@ISWC, 2017)

Semantic Identification of Web Browsing Sessions. - Neel Guha (CoRR, 2017)

Knowledge Aggregation via Epsilon Model Spaces. - Neel Guha (CoRR, 2018)

One-Shot Federated Learning. - Neel Guha; Ameet Talwalkar; Virginia Smith (CoRR, 2019)

Machine Learning for AC Optimal Power Flow. - Neel Guha; Zhecheng Wang; Matt Wytock; Arun Majumdar (CoRR, 2019)

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. - Laurel J. Orr; Megan Leszczynski; Neel Guha; Sen Wu 002; Simran Arora; Xiao Ling; Christopher Ré (CIDR, 2021)

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. - Amanda Coston; Neel Guha; Derek Ouyang; Lisa Lu; Alexandra Chouldechova; Daniel E. Ho (FAccT, 2021)

When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53, 000+ legal holdings. - Lucia Zheng; Neel Guha; Brandon R. Anderson; Peter Henderson 002; Daniel E. Ho (ICAIL, 2021)

When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset. - Lucia Zheng; Neel Guha; Brandon R. Anderson; Peter Henderson 002; Daniel E. Ho (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. - Peter Henderson 002; Mark S. Krass; Lucia Zheng; Neel Guha; Christopher D. Manning; Dan Jurafsky; Daniel E. Ho (NeurIPS, 2022)

LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning. - Neel Guha; Daniel E. Ho; Julian Nyarko; Christopher Ré (CoRR, 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Frederic Sala; Christopher Ré (CoRR, 2022)

Don't Use a Cannon to Kill a Fly: An Efficient Cascading Pipeline for Long Documents. - Zehua Li 001; Neel Guha; Julian Nyarko (ICAIL, 2023)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Christopher Ré (ICLR, 2023)

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. - Neel Guha; Mayee F. Chen; Kush Bhatia; Azalia Mirhoseini; Frederic Sala; Christopher Ré (NeurIPS, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; K. Aditya; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (NeurIPS, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - 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; et al. (CoRR, 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Prospector Heads: Generalized Feature Attribution for Large Models & Data. - Gautam Machiraju; Alexander Derry; Arjun D. Desai; Neel Guha; Amir-Hossein Karimi; James Zou 001; Russ B. Altman; Christopher Ré; Parag Mallick (ICML, 2024)

Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. - Jon Saad-Falcon; Daniel Y. Fu; Simran Arora; Neel Guha; Christopher Ré (ICML, 2024)

Smoothie: Label Free Language Model Routing. - Neel Guha; Mayee F. Chen; Trevor Chow; Ishan S. Khare; Christopher Ré (NeurIPS, 2024)

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks. - Tianyi Zhang 015; Linrong Cai; Jeffrey Li; Nicholas Roberts; Neel Guha; Frederic Sala (NeurIPS, 2024)

Open Problems in Technical AI Governance. - Anka Reuel; Ben Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (CoRR, 2024)

Archon: An Architecture Search Framework for Inference-Time Techniques. - Jon Saad-Falcon; Adrian Gamarra Lafuente; Shlok Natarajan; Nahum Maru; Hristo Todorov; Etash Kumar Guha; Estefany Kelly Buchanan; Mayee F. Chen; Neel Guha; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

A Reasoning-Focused Legal Retrieval Benchmark. - Lucia Zheng; Neel Guha; Javokhir Arifov; Sarah Zhang; Michal Skreta; Christopher D. Manning; Peter Henderson 002; Daniel E. Ho (CSLAW, 2025)

Open Problems in Technical AI Governance. - Anka Reuel; Benjamin Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (Trans. Mach. Learn. Res., 2025)

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks. - Tianyi Zhang 015; Linrong Cai; Jeffrey Li; Nicholas Roberts; Neel Guha; Jinoh Lee; Frederic Sala (CoRR, 2025)

Cartridges: Lightweight and general-purpose long context representations via self-study. - Sabri Eyuboglu; Ryan Ehrlich; Simran Arora; Neel Guha; Dylan Zinsley; Emily Liu; Will Tennien; Atri Rudra; James Zou 001; Azalia Mirhoseini; Christopher Ré (CoRR, 2025)