Faeze Brahman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 64

Top Topics

Story Generation

Commonsense Reasoning

Top Venues

EMNLP (Findings)

Publications

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Agent Lumos: Unified and Modular Training for Open-Source Language Agents. ACL (1) (2024)
Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. CoRR (2024)
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman
MacGyver: Are Large Language Models Creative Problem Solvers? NAACL-HLT (2024)
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
The Generative AI Paradox: "What It Can Create, It May Not Understand". ICLR (2024)
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. CoRR (2024)
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR (2024)
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. NAACL-HLT (2024)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. ICLR (2024)
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. NAACL-HLT (2024)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. ACL (Findings) (2024)
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR (2024)
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. ICLR (2024)
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers. Creativity & Cognition (2024)
Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi
Information-Theoretic Distillation for Reference-less Summarization. CoRR (2024)
Jaehun Jung, Faeze Brahman, Yejin Choi
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement. CoRR (2024)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) (2023)
Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
Affective and Dynamic Beam Search for Story Generation. EMNLP (Findings) (2023)
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR (2023)
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR (2023)
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
STEER: Unified Style Transfer with Expert Reinforcement. CoRR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR (2023)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. ICLR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP (2023)
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR (2023)
Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. CoRR (2023)
Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. EMNLP (Findings) (2023)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Improving Language Models with Advantage-based Offline Policy Gradients. CoRR (2023)
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
The Generative AI Paradox: "What It Can Create, It May Not Understand". CoRR (2023)
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers. CoRR (2023)
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. CoRR (2023)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
One Size Does Not Fit All: Customizing Open-Domain Procedures. CoRR (2023)
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
STEER: Unified Style Transfer with Expert Reinforcement. EMNLP (Findings) (2023)
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. NeurIPS (2023)
Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
Affective and Dynamic Beam Search for Story Generation. CoRR (2023)
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. CoRR (2023)
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing. CoRR (2023)
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman
MacGyver: Are Large Language Models Creative Problem Solvers? CoRR (2023)
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. NAACL-HLT (Findings) (2022)
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
Towards Inter-character Relationship-driven Story Generation. EMNLP (2022)
Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. CoRR (2022)
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. EMNLP (2022)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR (2022)
Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. EMNLP (Findings) (2022)
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
Towards Inter-character Relationship-driven Story Generation. CoRR (2022)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) (2022)
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. CoRR (2022)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. CoRR (2022)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR (2022)
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. CoRR (2022)
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI (2021)
Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
Reformulating Sentence Ordering as Conditional Text Generation. CoRR (2021)
Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
Is Everything in Order? A Simple Way to Order Sentences. EMNLP (1) (2021)
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. EMNLP (Findings) (2021)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. EMNLP (Findings) (2021)
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
ParsiNLU: A Suite of Language Understanding Challenges for Persian. Trans. Assoc. Comput. Linguistics 9 (2021)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. CoRR (2021)
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. CoRR (2021)
Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. AACL/IJCNLP (2020)
Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. CoRR (2020)
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
ParsiNLU: A Suite of Language Understanding Challenges for Persian. CoRR (2020)
Faeze Brahman, Snigdha Chaturvedi
Modeling Protagonist Emotions for Emotion-Aware Storytelling. CoRR (2020)
Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi
Effective Forum Curation via Multi-task Learning. EDM (2020)
Faeze Brahman, Snigdha Chaturvedi
Modeling Protagonist Emotions for Emotion-Aware Storytelling. EMNLP (1) (2020)
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. CoRR (2020)