| Deciding fast and slow: The role of cognitive biases in ai-assisted decision-making C Rastogi, Y Zhang, D Wei, KR Varshney, A Dhurandhar, R Tomsett Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), 1-22, 2022 | 99 | 2022 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, WG Rojas, S Diamos, ... arXiv preprint arXiv:2207.10062, 2022 | 96 | 2022 |
| Supporting human-ai collaboration in auditing llms with llms C Rastogi, M Tulio Ribeiro, N King, H Nori, S Amershi Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 913-926, 2023 | 54 | 2023 |
| A large scale randomized controlled trial on herding in peer-review discussions I Stelmakh, C Rastogi, NB Shah, A Singh, H Daumé III Plos one 18 (7), e0287443, 2023 | 25 | 2023 |
| A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity C Rastogi, L Leqi, K Holstein, H Heidari Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 …, 2023 | 24* | 2023 |
| A spectral approach for the design of experiments: Design, analysis and algorithms B Kailkhura, JJ Thiagarajan, C Rastogi, PK Varshney, PT Bremer Journal of Machine Learning Research 19 (34), 1-46, 2018 | 18 | 2018 |
| To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online C Rastogi, I Stelmakh, X Shen, M Meila, F Echenique, S Chawla, ... arXiv preprint arXiv:2203.17259, 2022 | 12 | 2022 |
| How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions? C Rastogi, I Stelmakh, A Beygelzimer, YN Dauphin, P Liang, ... Plos one 19 (4), e0300710, 2024 | 9 | 2024 |
| Cite-seeing and reviewing: A study on citation bias in peer review I Stelmakh, C Rastogi, R Liu, S Chawla, F Echenique, NB Shah Plos one 18 (7), e0283980, 2023 | 9 | 2023 |
| Two-sample testing on ranked preference data and the role of modeling assumptions C Rastogi, S Balakrishnan, NB Shah, A Singh The Journal of Machine Learning Research 23 (1), 10189-10236, 2022 | 9* | 2022 |
| Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models A Parrish, HR Kirk, J Quaye, C Rastogi, M Bartolo, O Inel, J Ciro, ... arXiv preprint arXiv:2305.14384, 2023 | 6 | 2023 |
| A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions C Rastogi, X Song, Z Jin, I Stelmakh, H Daumé III, K Zhang, NB Shah arXiv preprint arXiv:2403.01015, 2024 | 3 | 2024 |
| No Rose for MLE: Inadmissibility of MLE for Evaluation Aggregation Under Levels of Expertise C Rastogi, I Stelmakh, N Shah, S Balakrishnan 2022 IEEE International Symposium on Information Theory (ISIT), 3168-3173, 2022 | 2 | 2022 |
| Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation J Quaye, A Parrish, O Inel, C Rastogi, HR Kirk, M Kahng, E van Liemt, ... arXiv preprint arXiv:2403.12075, 2024 | 1 | 2024 |
| Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making C Rastogi Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 987-989, 2023 | 1 | 2023 |
| Improving Human Integration across the Machine Learning Pipeline C Rastogi Northwestern University, 2024 | | 2024 |
| Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths C Rastogi, A Kumar arXiv preprint arXiv:1711.04114, 2017 | | 2017 |
Nihar B. ShahML and CS departments, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
