| Mitigating dataset harms requires stewardship: Lessons from 1000 papers K Peng, A Mathur, A Narayanan NeurIPS 2021, Track on Datasets and Benchmarks, 2021 | 87* | 2021 |
| REFORMS: Consensus-based Recommendations for Machine-learning-based Science S Kapoor, E Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, ... Science Advances, 2024 | 11* | 2024 |
| Mixing times of one-sided -transposition shuffles E Nestoridi, K Peng arXiv preprint arXiv:2112.05085, 2021 | 4 | 2021 |
| Large language models shape and are shaped by society: A survey of arXiv publication patterns R Movva, S Balachandar, K Peng, G Agostini, N Garg, E Pierson NAACL 2024, 2024 | 3 | 2024 |
| Monoculture in matching markets K Peng, N Garg arXiv preprint arXiv:2312.09841, 2023 | 2 | 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 | 1 | 2024 |
| Wisdom and Foolishness of Noisy Matching Markets K Peng, N Garg arXiv preprint arXiv:2402.16771, 2024 | | 2024 |
| Deep residual networks preserve expected length K Peng Senior Thesis, 2022 | | 2022 |
