Brahman, Faeze

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Jung, J., Qin, L., Welleck, S., Brahman, F., Bhagavatula, C., Bras, R. L., & Choi, Y. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 98

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers

Chakrabarty, T., Padmakumar, V., Brahman, F., & Muresan, S. (2024) · Creativity and Cognition

Creativity in Education and NeuroscienceNatural Language Processing Techniques

Cited by 61

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Lin, B. Y., Fu, Y., Yang, K., Brahman, F., Huang, S., Bhagavatula, C., Ammanabrolu, P., Choi, Y., & Ren, X. (2023) · arXiv

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 50

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Lin, B. Y., Fu, Y., Yang, K., Brahman, F., Huang, S., Bhagavatula, C., Ammanabrolu, P., Choi, Y., & Ren, X. (2023) · Advances in Neural Information Processing Systems 36

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 50

Generating Sequences by Learning to Self-Correct

Welleck, S., Lu, X., West, P., Brahman, F., Shen, T., Khashabi, D., & Choi, Y. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 41

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Yin, D., Brahman, F., Ravichander, A., Chandu, K., Chang, K.-W., Choi, Y., & Lin, B. Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 17

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training

Lambert, N., Morrison, J., Pyatkin, V., Huang, S., Ivison, H., Brahman, F., Miranda, L. J. V., Liu, A., Dziri, N., Lyu, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Lin, B. Y., Deng, Y., Chandu, K., Brahman, F., Ravichander, A., Pyatkin, V., Dziri, N., Bras, R. L., & Choi, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

Jung, J., West, P., Jiang, L., Brahman, F., Lu, X., Fisher, J., Sorensen, T., & Choi, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

2 OLMo 2 Furious

OLMo, T., Walsh, P., Soldaini, L., Groeneveld, D., Lo, K., Arora, S., Bhagia, A., Gu, Y., Huang, S., Jordan, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2