| Self-refine: Iterative refinement with self-feedback A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... Advances in Neural Information Processing Systems 36, 2024 | 480 | 2024 |
| Rainier: Reinforced knowledge introspector for commonsense question answering J Liu, S Hallinan, X Lu, P He, S Welleck, H Hajishirzi, Y Choi arXiv preprint arXiv:2210.03078, 2022 | 41 | 2022 |
| Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines S Gabriel, S Hallinan, M Sap, P Nguyen, F Roesner, E Choi, Y Choi arXiv preprint arXiv:2104.08790, 2021 | 32 | 2021 |
| Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts S Hallinan, A Liu, Y Choi, M Sap arXiv preprint arXiv:2212.10543, 2022 | 18 | 2022 |
| Some ultra-processed foods are needed for nutrient adequate diets: linear programming analyses of the Seattle obesity study S Hallinan, C Rose, J Buszkiewicz, A Drewnowski Nutrients 13 (11), 3838, 2021 | 10 | 2021 |
| Tailoring self-rationalizers with multi-reward distillation S Ramnath, B Joshi, S Hallinan, X Lu, LH Li, A Chan, J Hessel, Y Choi, ... arXiv preprint arXiv:2311.02805, 2023 | 6 | 2023 |
| Inference-time policy adapters (ipa): Tailoring extreme-scale lms without fine-tuning X Lu, F Brahman, P West, J Jung, K Chandu, A Ravichander, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| STEER: Unified Style Transfer with Expert Reinforcement S Hallinan, F Brahman, X Lu, J Jung, S Welleck, Y Choi arXiv preprint arXiv:2311.07167, 2023 | 2 | 2023 |
| Mapping user trajectories to examine behavior and outcomes in digital health intervention data AT Chen, JH Chang, S Hallinan, DC Mohr 2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC), 1-8, 2019 | 2 | 2019 |
Sean J WelleckAssistant Professor, Carnegie Mellon UniversityPreverjeni e-poštni naslov na andrew.cmu.edu
