Kenny Peng

Kenny Peng

I am a third-year computer science PhD student at Cornell, where I am fortunate to be advised by Nikhil Garg and Jon Kleinberg. Previously, I completed my undergraduate degree in mathematics at Princeton, where I was lucky to work closely with Arvind Narayanan and Evita Nestoridi.

I am based at Cornell Tech in New York City, where I am also a doctoral fellow at the Digital Life Initiative (DLI). I am also a member of Cornell's AI, Policy, and Practice (AIPP) working group. In Summer 2024, I was a PiTech fellow, working on the Restorative Record.

I study the use of machine learning and algorithmic decision-making in societal settings like hiring and social media. I am also interested in the theory of matching markets.

Research

Stable Tables

Kenny Peng

arXiv:2411.09716

Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation

Kenny Peng and James Grimmelmann

arXiv:2410.12699

Monoculture in Matching Markets

Kenny Peng and Nikhil Garg

NeurIPS 2024

Wisdom and Foolishness of Noisy Matching Markets

Kenny Peng and Nikhil Garg

EC 2024

Reconciling the Accuracy-Diversity Trade-off in Recommendations

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

WWW 2024, Oral Presentation

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

Science Advances (2024)

Topics, Authors, and Networks in Large Language Model Research: Trends from a Survey of 17K arXiv Papers

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

NAACL 2024

The Largest Vocabulary Without a Crossword

Kenny Peng

Working paper

Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Kenny Peng, Arunesh Mathur, Arvind Narayanan

NeurIPS 2021, Track on Datasets and Benchmarks, Oral Presentation

Covered in MIT Technology Review, Nature, VentureBeat. Summarized in this Twitter thread.

Mixing Times of One-Sided k-Transposition Shuffles

Evita Nestoridi and Kenny Peng

Under revision at Annals of Applied Probability

Deep Residual Networks Preserve Expected Length

Kenny Peng

Undergraduate thesis advised by Boris Hanin

Sigma Xi Book Award for outstanding undergraduate research in mathematics

Miscellaneous