Kenneth Peng

According to our database, Kenneth Peng authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?

Nikhil Garg, Jon M. Kleinberg, Kenny Peng

CoRR, February, 2026

2025

Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts.

Kenny Peng, Rajiv Movva, Jon M. Kleinberg, Emma Pierson, Nikhil Garg

CoRR, June, 2025

Sparse Autoencoders for Hypothesis Generation.

Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Correlated Errors in Large Language Models.

Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A No Free Lunch Theorem for Human-AI Collaboration.

Kenny Peng, Nikhil Garg, Jon M. Kleinberg

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation.

Kenny Peng, James Grimmelmann

CoRR, 2024

Reconciling the Accuracy-Diversity Trade-off in Recommendations.

Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg

Proceedings of the ACM on Web Conference 2024, 2024

Wisdom and Foolishness of Noisy Matching Markets.

Kenny Peng, Nikhil Garg

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Monoculture in Matching Markets.

Kenny Peng, Nikhil Garg

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

REFORMS: Reporting Standards for Machine Learning Based Science.

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

CoRR, 2023

Large language models shape and are shaped by society: A survey of arXiv publication patterns.

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson

CoRR, 2023

2021

Mitigating dataset harms requires stewardship: Lessons from 1000 papers.

Kenneth Peng, Arunesh Mathur, Arvind Narayanan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021