| Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system F Brahman, M Honarmand, S Jadid Energy and Buildings 90, 65-75, 2015 | 553 | 2015 |
| Maieutic prompting: Logically consistent reasoning with recursive explanations J Jung, L Qin, S Welleck, F Brahman, C Bhagavatula, RL Bras, Y Choi EMNLP 2022, 2022 | 183* | 2022 |
| Generating sequences by learning to self-correct S Welleck, X Lu, F Brahman, P West, T Shen, ... The Eleventh International Conference on Learning Representations 2, 2023 | 177* | 2023 |
| THE GENERATIVE AI PARADOX:“What It Can Create, It May Not Understand” F Brahman, P West, X Lu, N Dziri, L Li, JD Hwang, L Jiang, J Fisher, ... The Twelfth International Conference on Learning Representations, 2023 | 65* | 2023 |
| Modeling protagonist emotions for emotion-aware storytelling F Brahman, S Chaturvedi EMNLP 2020, 2020 | 57 | 2020 |
| Agent lumos: Unified and modular training for open-source language agents D Yin, F Brahman, A Ravichander, K Chandu, KW Chang, Y Choi, BY Lin Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 55* | 2024 |
| Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks BY Lin, Y Fu, K Yang, F Brahman, S Huang, C Bhagavatula, ... Advances in Neural Information Processing Systems 36, 2024 | 54 | 2024 |
| ParsiNLU: A Suite of Language Understanding Challenges for Persian D Khashabi, A Cohan, S Shakeri, P Hosseini, P Pezeshkpour, M Alikhani, ... Transactions of the Association for Computational Linguistics 9, 1147-1162, 2021 | 49 | 2021 |
| " Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding F Brahman, M Huang, O Tafjord, C Zhao, M Sachan, S Chaturvedi Findings of EMNLP 2021, 2021 | 42 | 2021 |
| Learning to rationalize for nonmonotonic reasoning with distant supervision F Brahman, V Shwartz, R Rudinger, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12592 …, 2021 | 38 | 2021 |
| REV: information-theoretic evaluation of free-text rationales H Chen, F Brahman, X Ren, Y Ji, Y Choi, S Swayamdipta The 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023 | 32* | 2023 |
| System and method for artificial intelligence story generation allowing content introduction S Chaturvedi, F Brahman, A Petrusca US Patent 11,520,971, 2022 | 23 | 2022 |
| Cue me in: Content-inducing approaches to interactive story generation F Brahman, A Petrusca, S Chaturvedi AACL 2020, 2020 | 23 | 2020 |
| Optimal energy management of hybrid CCHP and PV in a residential building F Brahman, S Jadid 2014 19th Conference on Electrical Power Distribution Networks (EPDC), 19-24, 2014 | 22 | 2014 |
| MacGyver: Are Large Language Models Creative Problem Solvers? Y Tian, A Ravichander, L Qin, RL Bras, R Marjieh, N Peng, Y Choi, ... NAACL 2024 (🏆 Best paper nomination), 2023 | 21 | 2023 |
| Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers T Chakrabarty, V Padmakumar, F Brahman, S Muresan Proceedings of the 16th Conference on Creativity & Cognition, 132-155, 2024 | 18* | 2024 |
| PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning F Brahman, C Bhagavatula, V Pyatkin, JD Hwang, XL Li, HJ Arai, ... The Twelfth International Conference on Learning Representations, 0 | 18* | |
| Inference-time policy adapters (ipa): Tailoring extreme-scale lms without fine-tuning X Lu, F Brahman, P West, J Jang, K Chandu, A Ravichander, L Qin, ... EMNLP 2023, 2023 | 15* | 2023 |
| The art of saying no: Contextual noncompliance in language models F Brahman, S Kumar, V Balachandran, P Dasigi, V Pyatkin, ... NeurIPS 2024 Track on Datasets and Benchmarks, 2024 | 11 | 2024 |
| Is everything in order? a simple way to order sentences SBR Chowdhury, F Brahman, S Chaturvedi Findings of EMNLP 2021, 2021 | 11 | 2021 |
Yejin ChoiStanford University / NVIDIAZweryfikowany adres z stanford.edu