Mitigating dataset harms requires stewardship: Lessons from 1000 papers K Peng, A Mathur, A Narayanan
NeurIPS 2021, Track on Datasets and Benchmarks, 2021
116 * 2021 Reforms: Consensus-based recommendations for machine-learning-based science S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, ...
Science Advances 10 (18), eadk3452, 2024
56 * 2024 Topics, authors, and institutions in Large Language Model research: trends from 17K arXiv papers R Movva, S Balachandar, K Peng, G Agostini, N Garg, E Pierson
arXiv preprint arXiv:2307.10700, 2023
15 * 2023 Monoculture in matching markets K Peng, N Garg
NeurIPS 2024, 2023
7 2023 Reconciling the accuracy-diversity trade-off in recommendations K Peng, M Raghavan, E Pierson, J Kleinberg, N Garg
The Web Conference (WWW) 2024, 2024
6 2024 Mixing times of one-sided E Nestoridi, K Peng
arXiv preprint arXiv:2112.05085, 2021
5 2021 Wisdom and Foolishness of Noisy Matching Markets K Peng, N Garg
Economics and Computation (EC) 2024, 2024
3 2024 A no free lunch theorem for human-ai collaboration K Peng, N Garg, J Kleinberg
arXiv preprint arXiv:2411.15230, 2024
2 2024 Sparse Autoencoders for Hypothesis Generation R Movva, K Peng, N Garg, J Kleinberg, E Pierson
arXiv preprint arXiv:2502.04382, 2025
2025 Stable Tables K Peng
arXiv preprint arXiv:2411.09716, 2024
2024 Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation K Peng, J Grimmelmann
arXiv preprint arXiv:2410.12699, 2024
2024 Deep residual networks preserve expected length K Peng
Senior Thesis, 2022
2022 The largest vocabulary without a crossword K Peng
