Kenny Peng

19 papers A* 6Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?
CoRR
Nikhil Garg, Jon M. Kleinberg, Kenny Peng
2025 A* conf
A No Free Lunch Theorem for Human-AI Collaboration.
AAAI
Kenny Peng, Nikhil Garg, Jon M. Kleinberg
2025 A* conf
Correlated Errors in Large Language Models.
ICML
Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg
2025 J jnl
Correlated Errors in Large Language Models.
CoRR
Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg
2025 A* conf
Sparse Autoencoders for Hypothesis Generation.
ICML
Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson
2025 J jnl
Sparse Autoencoders for Hypothesis Generation.
CoRR
Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson
2025 J jnl
Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts.
CoRR
Kenny Peng, Rajiv Movva, Jon M. Kleinberg, Emma Pierson, Nikhil Garg
2024 J jnl
A No Free Lunch Theorem for Human-AI Collaboration.
CoRR
Kenny Peng, Nikhil Garg, Jon M. Kleinberg
2024 A* conf
Monoculture in Matching Markets.
NeurIPS
Kenny Peng, Nikhil Garg
2024 A* conf
Reconciling the Accuracy-Diversity Trade-off in Recommendations.
WWW
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
2024 J jnl
Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation.
CoRR
Kenny Peng, James Grimmelmann
2024 — conf
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.
NAACL-HLT
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
2024 A* conf
Wisdom and Foolishness of Noisy Matching Markets.
EC
Kenny Peng, Nikhil Garg
2024 J jnl
Wisdom and Foolishness of Noisy Matching Markets.
CoRR
Kenny Peng, Nikhil Garg
2023 J jnl
Large language models shape and are shaped by society: A survey of arXiv publication patterns.
CoRR
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
2023 J jnl
Monoculture in Matching Markets.
CoRR
Kenny Peng, Nikhil Garg
2023 J jnl
REFORMS: Reporting Standards for Machine Learning Based Science.
CoRR
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
2023 J jnl
Reconciling the accuracy-diversity trade-off in recommendations.
CoRR
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
2021 J jnl
Mitigating dataset harms requires stewardship: Lessons from 1000 papers.
CoRR
Kenny Peng, Arunesh Mathur, Arvind Narayanan