Faeze Brahman

97 papers A* 13B 2Journal 60Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cold-Start Personalization via Training-Free Priors from Structured World Models.
CoRR
Avinandan Bose, Shuyue Stella Li, Faeze Brahman, Pang Wei Koh, Simon Shaolei Du, Yulia Tsvetkov, Maryam Fazel, Lin Xiao, Asli Celikyilmaz
2026 J jnl
IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance.
Trans. Assoc. Comput. Linguistics
Paul Röttger, Musashi Hinck, Valentin Hofmann, Kobi Hackenburg, Valentina Pyatkin, Faeze Brahman, Dirk Hovy
2026 J jnl
Meta-Reinforcement Learning with Self-Reflection for Agentic Search.
CoRR
Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi
2026 J jnl
Small Reward Models via Backward Inference.
CoRR
Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi, Yulia Tsvetkov
2025 J jnl
2 OLMo 2 Furious.
CoRR
Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025 — conf
AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents.
NAACL (Long Papers)
Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, Maarten Sap
2025 J jnl
Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning.
CoRR
Shuyue Stella Li, Jimin Mun, Faeze Brahman, Jonathan Ilgen, Yulia Tsvetkov, Maarten Sap
2025 J jnl
CreativityPrism: A Holistic Benchmark for Large Language Model Creativity.
CoRR
Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu, Bhiman Kumar Baghel, Anneliese Brei, Ximing Lu, Meng Jiang, Faeze Brahman, Snigdha Chaturvedi, Haw-Shiuan Chang, Daniel Khashabi, Xiang Lorraine Li
2025 J jnl
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.
CoRR
Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David A. Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh
2025 — conf
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications.
ACL (5)
Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman, Liwei Jiang, Bo Li, Yulia Tsvetkov, Christopher Parisien, Yejin Choi
2025 — conf
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback.
ACL (1)
Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2025 J jnl
IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance.
CoRR
Paul Röttger, Musashi Hinck, Valentin Hofmann, Kobi Hackenburg, Valentina Pyatkin, Faeze Brahman, Dirk Hovy
2025 J jnl
Large-Scale Data Selection for Instruction Tuning.
CoRR
Hamish Ivison, Muru Zhang, Faeze Brahman, Pang Wei Koh, Pradeep Dasigi
2025 — conf
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences.
EMNLP (Findings)
Mingqian Zheng, Wenjia Hu, Patrick Zhao, Motahhare Eslami, Jena D. Hwang, Faeze Brahman, Carolyn Rose, Maarten Sap
2025 J jnl
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences.
CoRR
Mingqian Zheng, Wenjia Hu, Patrick Zhao, Motahhare Eslami, Jena D. Hwang, Faeze Brahman, Carolyn Rose, Maarten Sap
2025 J jnl
Multi-Attribute Constraint Satisfaction via Language Model Rewriting.
Trans. Mach. Learn. Res.
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark O. Riedl, Maarten Sap
2025 J jnl
Olmo 3.
CoRR
Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025 J jnl
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data.
CoRR
Tong Chen, Faeze Brahman, Jiacheng Liu, Niloofar Mireshghallah, Weijia Shi, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi
2025 J jnl
Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It.
CoRR
Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov
2025 J jnl
RESTOR: Knowledge Recovery in Machine Unlearning.
Trans. Mach. Learn. Res.
Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander
2025 J jnl
Reasoning Up the Instruction Ladder for Controllable Language Models.
CoRR
Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar
2025 J jnl
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations.
CoRR
Tong Chen, Akari Asai, Luke Zettlemoyer, Hannaneh Hajishirzi, Faeze Brahman
2025 A* conf
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.
ICLR
Jaehun Jung, Faeze Brahman, Yejin Choi
2024 J jnl
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents.
CoRR
Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, Maarten Sap
2024 — conf
Agent Lumos: Unified and Modular Training for Open-Source Language Agents.
ACL (1)
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
2024 B conf
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers.
Creativity & Cognition
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan
2024 J jnl
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions.
CoRR
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
2024 — conf
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models.
EMNLP (Findings)
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
2024 J jnl
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models.
CoRR
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
2024 J jnl
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback.
CoRR
Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2024 — conf
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model.
NAACL-HLT
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
2024 A* conf
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search.
EMNLP
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren
2024 J jnl
Information-Theoretic Distillation for Reference-less Summarization.
CoRR
Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi
2024 A* conf
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models.
ICLR
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
2024 — conf
MacGyver: Are Large Language Models Creative Problem Solvers?
NAACL-HLT
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman
2024 J jnl
Multi-Attribute Constraint Satisfaction via Language Model Rewriting.
CoRR
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark O. Riedl, Maarten Sap
2024 A* conf
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning.
ICLR
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2024 J jnl
RESTOR: Knowledge Recovery through Machine Unlearning.
CoRR
Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander
2024 — conf
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization.
ACL (Findings)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
2024 A* conf
The Art of Saying No: Contextual Noncompliance in Language Models.
NeurIPS
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, Hanna Hajishirzi
2024 J jnl
The Art of Saying No: Contextual Noncompliance in Language Models.
CoRR
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
2024 A* conf
The Generative AI Paradox: "What It Can Create, It May Not Understand".
ICLR
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 J jnl
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.
CoRR
Jaehun Jung, Faeze Brahman, Yejin Choi
2024 J jnl
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training.
CoRR
Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Chris Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi
2024 — conf
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.
NAACL-HLT
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr
2024 J jnl
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.
CoRR
Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
2024 A* conf
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
NeurIPS
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2024 J jnl
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
CoRR
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2023 — conf
Affective and Dynamic Beam Search for Story Generation.
EMNLP (Findings)
Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
2023 J jnl
Affective and Dynamic Beam Search for Story Generation.
CoRR
Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
2023 J jnl
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers.
CoRR
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan
2023 A* conf
Generating Sequences by Learning to Self-Correct.
ICLR
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
2023 J jnl
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing.
CoRR
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
2023 J jnl
Improving Language Models with Advantage-based Offline Policy Gradients.
CoRR
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
2023 J jnl
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.
CoRR
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren
2023 A* conf
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.
EMNLP
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 J jnl
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.
CoRR
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
2023 J jnl
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.
CoRR
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
2023 J jnl
MacGyver: Are Large Language Models Creative Problem Solvers?
CoRR
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman
2023 J jnl
One Size Does Not Fit All: Customizing Open-Domain Procedures.
CoRR
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
2023 J jnl
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.
CoRR
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2023 — conf
REV: Information-Theoretic Evaluation of Free-Text Rationales.
ACL (1)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
2023 — conf
STEER: Unified Style Transfer with Expert Reinforcement.
EMNLP (Findings)
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
2023 J jnl
STEER: Unified Style Transfer with Expert Reinforcement.
CoRR
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
2023 A* conf
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.
NeurIPS
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren
2023 J jnl
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.
CoRR
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren
2023 J jnl
The Generative AI Paradox: "What It Can Create, It May Not Understand".
CoRR
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
2023 J jnl
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.
CoRR
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr
2023 — conf
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations.
EMNLP (Findings)
Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi
2023 J jnl
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations.
CoRR
Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi
2022 J jnl
Generating Sequences by Learning to Self-Correct.
CoRR
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
2022 — conf
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation.
EMNLP (Findings)
Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
2022 J jnl
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation.
CoRR
Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
2022 A* conf
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
EMNLP
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
2022 J jnl
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
CoRR
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
2022 — conf
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
EMNLP (Findings)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 J jnl
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
CoRR
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 J jnl
REV: Information-Theoretic Evaluation of Free-Text Rationales.
CoRR
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
2022 — conf
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.
NAACL-HLT (Findings)
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2022 J jnl
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.
CoRR
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2022 A* conf
Towards Inter-character Relationship-driven Story Generation.
EMNLP
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
2022 J jnl
Towards Inter-character Relationship-driven Story Generation.
CoRR
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
2021 — conf
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.
EMNLP (Findings)
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021 J jnl
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.
CoRR
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021 — conf
Is Everything in Order? A Simple Way to Order Sentences.
EMNLP (1)
Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
2021 A* conf
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision.
AAAI
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
2021 J jnl
ParsiNLU: A Suite of Language Understanding Challenges for Persian.
Trans. Assoc. Comput. Linguistics
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
2021 J jnl
Reformulating Sentence Ordering as Conditional Text Generation.
CoRR
Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
2021 — conf
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.
EMNLP (Findings)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
2021 J jnl
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.
CoRR
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
2020 — conf
Cue Me In: Content-Inducing Approaches to Interactive Story Generation.
AACL/IJCNLP
Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
2020 J jnl
Cue Me In: Content-Inducing Approaches to Interactive Story Generation.
CoRR
Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
2020 B conf
Effective Forum Curation via Multi-task Learning.
EDM
Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi
2020 J jnl
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision.
CoRR
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
2020 — conf
Modeling Protagonist Emotions for Emotion-Aware Storytelling.
EMNLP (1)
Faeze Brahman, Snigdha Chaturvedi
2020 J jnl
Modeling Protagonist Emotions for Emotion-Aware Storytelling.
CoRR
Faeze Brahman, Snigdha Chaturvedi
2020 J jnl
ParsiNLU: A Suite of Language Understanding Challenges for Persian.
CoRR
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