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ORCIDKenneth Peng
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- affiliation: Princeton University, USA
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Conference and Workshop Papers
- 2024
[c3]Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson:
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers. NAACL-HLT 2024: 1223-1243- [c2]Kenny Peng
, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg:
Reconciling the Accuracy-Diversity Trade-off in Recommendations. WWW 2024: 1318-1329 - 2021
- [c1]Kenneth Peng, Arunesh Mathur, Arvind Narayanan:
Mitigating dataset harms requires stewardship: Lessons from 1000 papers. NeurIPS Datasets and Benchmarks 2021
Informal and Other Publications
- 2024
- [i6]Kenny Peng, Nikhil Garg:
Wisdom and Foolishness of Noisy Matching Markets. CoRR abs/2402.16771 (2024) - 2023
- [i5]Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson:
Large language models shape and are shaped by society: A survey of arXiv publication patterns. CoRR abs/2307.10700 (2023) - [i4]Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg:
Reconciling the accuracy-diversity trade-off in recommendations. CoRR abs/2307.15142 (2023) - [i3]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:
REFORMS: Reporting Standards for Machine Learning Based Science. CoRR abs/2308.07832 (2023) - [i2]Kenny Peng, Nikhil Garg:
Monoculture in Matching Markets. CoRR abs/2312.09841 (2023) - 2021
- [i1]Kenny Peng, Arunesh Mathur, Arvind Narayanan:
Mitigating dataset harms requires stewardship: Lessons from 1000 papers. CoRR abs/2108.02922 (2021)
Coauthor Index
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