| 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 | 434 | 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 | 78 | 2019 |
| 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 | 66 | 2023 |
| 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 | 44 | 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 | 42* | 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 | 41 | 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 | 22 | 2020 |
| 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 | 20 | 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 | 17 | 2023 |
| Open problems and fundamental limitations of reinforcement learning from human feedback. CoRR, abs/2307.15217, 2023. doi: 10.48550 S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint ARXIV.2307.15217, 0 | 15 | |
| 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 | 12 | 2024 |
| Getting aligned on representational alignment. arXiv I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ... | 8 | 2023 |
| Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback (arXiv: 2307.15217). arXiv S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... | 8 | 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 | 7 | 2017 |
| & Hadfield-Menell, D.(2023). 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, ... arXiv preprint arXiv:2307.15217, 0 | 7 | |
| Learning how hard to think: Input-adaptive allocation of lm computation M Damani, I Shenfeld, A Peng, A Bobu, J Andreas arXiv preprint arXiv:2410.04707, 2024 | 6 | 2024 |
| 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 | 6 | 2024 |
| Getting aligned on representational alignment, November 2023 I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ... URL http://arxiv. org/abs/2310.13018, 0 | 6 | |
| Strengthening Subcommunities: Towards Sustainable Growth in AI Research A Peng, JZ Forde, Y Shavit, J Frankle ICLR 2022 Workshop on ML Evaluation Standards, 2022 | 4 | 2022 |
| An Integrated Machine Learning Approach To Studying Terrorism A Peng Yale University, 2018 | 4 | 2018 |
