| 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 | 561 | 2015 |
| 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 | 198* | 2023 |
| 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 | 190* | 2022 |
| 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 | 71* | 2023 |
| 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 | 66* | 2024 |
| Modeling protagonist emotions for emotion-aware storytelling F Brahman, S Chaturvedi EMNLP 2020, 2020 | 60 | 2020 |
| 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, 23813-23825, 2023 | 56 | 2023 |
| 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 | 51 | 2021 |
| Creativity support in the age of large language models: An empirical study involving emerging writers T Chakrabarty, V Padmakumar, F Brahman, S Muresan arXiv preprint arXiv:2309.12570, 2023 | 48* | 2023 |
| " 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 | 46 | 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 | 39 | 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 | 37* | 2023 |
| WILDBENCH: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild BY Lin, Y Deng, K Chandu, F Brahman, A Ravichander, V Pyatkin, N Dziri, ... ICLR 2025, 2024 | 32* | 2024 |
| Is everything in order? a simple way to order sentences SBR Chowdhury, F Brahman, S Chaturvedi Findings of EMNLP 2021, 2021 | 29 | 2021 |
| T\" ulu 3: Pushing frontiers in open language model post-training N Lambert, J Morrison, V Pyatkin, S Huang, H Ivison, F Brahman, ... arXiv preprint arXiv:2411.15124, 2024 | 27 | 2024 |
| 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 | 24 | 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 |
| 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 | 20 | 2024 |
Yejin ChoiStanford University / NVIDIAVerified email at stanford.edu