Faeze Brahman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
7
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Reasoning Up the Instruction Ladder for Controllable Language Models. | Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar |
| 2025 | ACL | Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. | Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi |
| 2025 | ACL | Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications. | Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman, Liwei Jiang, Bo Li, Yulia Tsvetkov, Christopher Parisien, Yejin Choi |
| 2025 | EMNLP | Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences. | Mingqian Zheng, Wenjia Hu, Patrick Zhao, Motahhare Eslami, Jena D. Hwang, Faeze Brahman, Carolyn Rose, Maarten Sap |
| 2025 | ICLR | Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement. | Jaehun Jung, Faeze Brahman, Yejin Choi |
| 2025 | NAACL | AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents. | Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, Maarten Sap |
| 2024 | ACL | Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. | Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon |
| 2024 | ACL | Agent Lumos: Unified and Modular Training for Open-Source Language Agents. | Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin |
| 2024 | EMNLP | In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. | Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren |
| 2024 | EMNLP | How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. | Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel |
| 2024 | ICLR | Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. | Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi |
| 2024 | NAACL | Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. | Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi |
| 2024 | NAACL | MacGyver: Are Large Language Models Creative Problem Solvers? | Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman |
| 2024 | NAACL | UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. | Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr |
| 2023 | ACL | REV: Information-Theoretic Evaluation of Free-Text Rationales. | Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta |
| 2023 | EMNLP | STEER: Unified Style Transfer with Expert Reinforcement. | Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi |
| 2023 | EMNLP | Affective and Dynamic Beam Search for Story Generation. | Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi |
| 2023 | EMNLP | Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. | Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi |
| 2023 | EMNLP | What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. | Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi |
| 2023 | ICLR | Generating Sequences by Learning to Self-Correct. | Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi |
| 2022 | EMNLP | Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. | Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao |
| 2022 | EMNLP | Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. | Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi |
| 2022 | EMNLP | Towards Inter-character Relationship-driven Story Generation. | Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi |
| 2022 | EMNLP | NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. | Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi |
| 2022 | NAACL | Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. | Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi |
| 2021 | AAAI | Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. | Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi |
| 2021 | EMNLP | "Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. | Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi |
| 2021 | EMNLP | Is Everything in Order? A Simple Way to Order Sentences. | Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi |
| 2021 | EMNLP | Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. | Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi |
| 2020 | EDM | Effective Forum Curation via Multi-task Learning. | Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi |
| 2020 | EMNLP | Modeling Protagonist Emotions for Emotion-Aware Storytelling. | Faeze Brahman, Snigdha Chaturvedi |
| 2020 | IJCNLP | Cue Me In: Content-Inducing Approaches to Interactive Story Generation. | Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi |