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Journal Articles
- 2021
[j1]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: 1147-1162 (2021)
Conference and Workshop Papers
- 2024
- [c30]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: 12380-12403 - [c29]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: 15597-15611 - [c28]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: 132-155 - [c27]Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren:
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. EMNLP 2024: 2348-2370 - [c26]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. EMNLP (Findings) 2024: 13060-13077 - [c25]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 - [c24]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 - [c23]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 - [c22]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: 4439-4454 - [c21]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: 5303-5324 - [c20]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: 8487-8505 - 2023
- [c19]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) 2023: 2007-2030 - [c18]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:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2023: 6863-6883 - [c17]Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi:
STEER: Unified Style Transfer with Expert Reinforcement. EMNLP (Findings) 2023: 7546-7562 - [c16]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: 11792-11806 - [c15]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: 12140-12159 - [c14]Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. ICLR 2023 - [c13]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 - 2022
- [c12]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) 2022: 182-197 - [c11]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: 1266-1279 - [c10]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: 7397-7413 - [c9]Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi:
Towards Inter-character Relationship-driven Story Generation. EMNLP 2022: 8970-8987 - [c8]Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi:
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. NAACL-HLT (Findings) 2022: 1709-1718 - 2021
- [c7]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI 2021: 12592-12601 - [c6]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: 1734-1752 - [c5]Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi:
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. EMNLP (Findings) 2021: 3866-3873 - [c4]Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi:
Is Everything in Order? A Simple Way to Order Sentences. EMNLP (1) 2021: 10769-10779 - 2020
- [c3]Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi:
Effective Forum Curation via Multi-task Learning. EDM 2020 - [c2]Faeze Brahman, Snigdha Chaturvedi:
Modeling Protagonist Emotions for Emotion-Aware Storytelling. EMNLP (1) 2020: 5277-5294 - [c1]Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi:
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. AACL/IJCNLP 2020: 588-597
Informal and Other Publications
- 2024
- [i37]Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi:
Information-Theoretic Distillation for Reference-less Summarization. CoRR abs/2403.13780 (2024) - [i36]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 abs/2406.04770 (2024) - [i35]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 abs/2406.18510 (2024) - [i34]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 abs/2407.00369 (2024) - [i33]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 abs/2407.12043 (2024) - [i32]Jaehun Jung, Faeze Brahman, Yejin Choi:
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement. CoRR abs/2407.18370 (2024) - [i31]Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, Maarten Sap:
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents. CoRR abs/2409.09013 (2024) - [i30]Xuhui Zhou, Hyunwoo Kim, Faeze Brahman, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, Ronan Le Bras, Maarten Sap:
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions. CoRR abs/2409.16427 (2024) - 2023
- [i29]Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl:
Improving Language Models with Advantage-based Offline Policy Gradients. CoRR abs/2305.14718 (2023) - [i28]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi 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 abs/2305.15065 (2023) - [i27]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 abs/2305.16635 (2023) - [i26]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 abs/2305.17390 (2023) - [i25]Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi:
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR abs/2305.19472 (2023) - [i24]Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan:
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers. CoRR abs/2309.12570 (2023) - [i23]Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi:
Affective and Dynamic Beam Search for Story Generation. CoRR abs/2310.15079 (2023) - [i22]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 abs/2310.15431 (2023) - [i21]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". CoRR abs/2311.00059 (2023) - [i20]Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin:
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR abs/2311.05657 (2023) - [i19]Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi:
STEER: Unified Style Transfer with Expert Reinforcement. CoRR abs/2311.07167 (2023) - [i18]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 abs/2311.07237 (2023) - [i17]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 abs/2311.08469 (2023) - [i16]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 abs/2311.09510 (2023) - [i15]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 abs/2311.09682 (2023) - 2022
- [i14]Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi:
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. CoRR abs/2205.11822 (2022) - [i13]Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi:
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. CoRR abs/2205.13183 (2022) - [i12]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR abs/2210.04982 (2022) - [i11]Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. CoRR abs/2211.00053 (2022) - [i10]Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi:
Towards Inter-character Relationship-driven Story Generation. CoRR abs/2211.00676 (2022) - [i9]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR abs/2212.01476 (2022) - [i8]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 abs/2212.01956 (2022) - 2021
- [i7]Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi:
Reformulating Sentence Ordering as Conditional Text Generation. CoRR abs/2104.07064 (2021) - [i6]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 abs/2109.05438 (2021) - [i5]Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi:
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. CoRR abs/2109.06437 (2021) - 2020
- [i4]Faeze Brahman, Snigdha Chaturvedi:
Modeling Protagonist Emotions for Emotion-Aware Storytelling. CoRR abs/2010.06822 (2020) - [i3]Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi:
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. CoRR abs/2010.09935 (2020) - [i2]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 abs/2012.06154 (2020) - [i1]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. CoRR abs/2012.08012 (2020)
Coauthor Index
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