Faeze Brahman

According to our database, Faeze Brahman authored at least 47 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback.

Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi

CoRR, 2024

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions.

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

CoRR, 2024

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

CoRR, 2024

Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.

Jaehun Jung, Faeze Brahman, Yejin Choi

CoRR, 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 Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi

CoRR, 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

CoRR, 2024

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

Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi

CoRR, 2024

Information-Theoretic Distillation for Reference-less Summarization.

Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi

CoRR, 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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 Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models.

Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan

Proceedings of the 16th Conference on Creativity & Cognition, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

One Size Does Not Fit All: Customizing Open-Domain Procedures.

Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon

CoRR, 2023

In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.

Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren

CoRR, 2023

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

CoRR, 2023

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

Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan

CoRR, 2023

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

CoRR, 2023

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

Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi

CoRR, 2023

Improving Language Models with Advantage-based Offline Policy Gradients.

Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generating Sequences by Learning to Self-Correct.

Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Affective and Dynamic Beam Search for Story Generation.

Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

STEER: Unified Style Transfer with Expert Reinforcement.

Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

REV: Information-Theoretic Evaluation of Free-Text Rationales.

Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.

Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.

Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Inter-character Relationship-driven Story Generation.

Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation.

Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

ParsiNLU: A Suite of Language Understanding Challenges for Persian.

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

Trans. Assoc. Comput. Linguistics, 2021

Reformulating Sentence Ordering as Conditional Text Generation.

Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi

CoRR, 2021

Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.

Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Is Everything in Order? A Simple Way to Order Sentences.

Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

"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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision.

Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cue Me In: Content-Inducing Approaches to Interactive Story Generation.

Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Modeling Protagonist Emotions for Emotion-Aware Storytelling.

Faeze Brahman, Snigdha Chaturvedi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Effective Forum Curation via Multi-task Learning.

Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi

Proceedings of the 13th International Conference on Educational Data Mining, 2020