| Open problems and fundamental limitations of reinforcement learning from human feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... Transactions on Machine Learning Research, 2023 | 144 | 2023 |
| What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring A Peng, B Nushi, E Kiciman, K Inkpen, S Suri, E Kamar AAAI Conference on Human Computation and Crowdsourcing 7 (1), 125-134, 2019 | 56 | 2019 |
| Conceptual Feasibility Study of the Hyperloop Vehicle for Next-Generation Transport K Decker, J Chin, A Peng, C Summers, G Nguyen, A Oberlander, G Sakib, ... NASA Technical Report, 2017 | 40 | 2017 |
| Aligning human and robot representations A Bobu, A Peng, P Agrawal, J Shah, AD Dragan ACM/IEEE International Conference on Human-Robot Interaction, 2023 | 23* | 2023 |
| Investigations of Performance and Bias in Human-AI Teamwork in Hiring A Peng, B Nushi, E Kiciman, K Inkpen, E Kamar AAAI Conference on Artificial Intelligence, 12089-12097, 2022 | 22 | 2022 |
| Human-Machine Collaboration for Fast Land Cover Mapping. C Robinson, A Ortiz, K Malkin, B Elias, A Peng, D Morris, B Dilkina, N Jojic AAAI Conference on Artificial Intelligence, 2509-2517, 2020 | 21 | 2020 |
| Getting aligned on representational alignment I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ... arXiv preprint arXiv:2310.13018, 2023 | 17 | 2023 |
| Make greenhouse-gas accounting reliable—build interoperable systems A Luers, L Yona, CB Field, RB Jackson, KJ Mach, BW Cashore, C Elliott, ... Nature 607 (7920), 653-656, 2022 | 15 | 2022 |
| Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation A Peng, A Netanyahu, MK Ho, T Shu, A Bobu, J Shah, P Agrawal International Conference on Machine Learning, 2023 | 7 | 2023 |
| Conceptual Sizing and Feasibility Study for a Magnetic Plane Concept K Decker, J Chin, A Peng, C Summers, G Nguyen, A Oberlander, G Sakib, ... AIAA Aerospace Sciences Meeting 55, 0221, 2017 | 6 | 2017 |
| An Integrated Machine Learning Approach To Studying Terrorism A Peng Yale University, 2018 | 4 | 2018 |
| Learning with language-guided state abstractions A Peng, I Sucholutsky, B Li, T Sumers, T Griffiths, J Andreas, J Shah International Conference on Learning Representations, 2024 | 2 | 2024 |
| Strengthening Subcommunities: Towards Sustainable Growth in AI Research A Peng, JZ Forde, Y Shavit, J Frankle ICLR 2022 Workshop on ML Evaluation Standards, 2022 | 2 | 2022 |
| Human-Guided Complexity-Controlled Abstractions A Peng, M Tucker, E Kenny, N Zaslavsky, P Agrawal, J Shah Advances in Neural Information Processing Systems 36, 2023 | 1 | 2023 |
| The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making A Peng, M Simard-Halm AAAI/ACM Conference on AI, Ethics, and Society, 343-344, 2020 | 1 | 2020 |
| Preference-Conditioned Language-Guided Abstraction A Peng, A Bobu, BZ Li, TR Sumers, I Sucholutsky, N Kumar, TL Griffiths, ... ACM/IEEE International Conference on Human-Robot Interaction, 2024 | | 2024 |
| Leveraging Humans to Detect and Fix Representation Misalignment A Peng Massachusetts Institute of Technology, 2023 | | 2023 |
