Brahman, Faeze

16 publications

TMLR 2025 Multi-Attribute Constraint Satisfaction via Language Model Rewriting Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark Riedl, Maarten Sap

TMLR 2025 RESTOR: Knowledge Recovery in Machine Unlearning Keivan Rezaei, Khyathi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander

ICLR 2025 Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement Jaehun Jung, Faeze Brahman, Yejin Choi

ICLR 2024 Leftover Lunch: Advantage-Based Offline Reinforcement Learning for Language Models Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark Riedl

ICLRW 2024 Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

ICLR 2024 PlaSma: Procedural Knowledge Models for Language-Based Planning and Re-Planning Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

NeurIPS 2024 The Art of Saying No: Contextual Noncompliance in Language Models Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi

ICLR 2024 The Generative AI Paradox: “What It Can Create, It May Not Understand” Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi

ICMLW 2024 Thinking Out-of-the-Box: A Comparative Investigation of Human and LLMs in Creative Problem-Solving Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman

NeurIPS 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri

ICMLW 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Nouha Dziri, Yejin Choi

ICLR 2023 Generating Sequences by Learning to Self-Correct Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi

NeurIPS 2023 SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren

ICMLW 2023 SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren

NeurIPSW 2022 Information-Theoretic Evaluation of Free-Text Rationales with Conditional $\mathcal{V}$-Information Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta

AAAI 2021 Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi