| 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 | 57* | 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 |
| Reconciling the accuracy-diversity trade-off in recommendations K Peng, M Raghavan, E Pierson, J Kleinberg, N Garg The Web Conference (WWW) 2024, 2024 | 7 | 2024 |
| Monoculture in matching markets K Peng, N Garg NeurIPS 2024, 2023 | 7 | 2023 |
| Mixing times of one-sided -transposition shuffles 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 | | |
