FB
Faeze Brahman
cs.CLcs.AIcs.LGcs.HCcs.CVcs.CYcs.MAcs.RO
On Valency
published · living versionsW_3sasu23e·v1 · currentpublished
s: Simple Scaling of Swarms via Cooperative Multi-agent RL
with Kunal Jha, Gonçalo Faria, Shuyue Stella Li, Scott Geng +4
1 version
Preprints & journals
56 papers in the corpus · 2020–2026EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics2605.03871v1 · Shuyue Stella Li, Rui Xin, Teng Xiao et al.2026 · 0 citationsarXiv
Meta-Reinforcement Learning with Self-Reflection for Agentic Search2603.11327v2 · Teng Xiao, Yige Yuan, Hamish Ivison et al.2026 · 0 citationsarXiv
Cold-Start Personalization via Training-Free Priors from Structured World Models2602.15012v1 · Avinandan Bose, Shuyue Stella Li, Faeze Brahman et al.2026 · 0 citationsarXiv
Small Reward Models via Backward Inference2602.13551v3 · Yike Wang, Faeze Brahman, Shangbin Feng et al.2026 · 0 citationsarXiv
Olmo 32512.13961v2 · Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl et al.2025 · 5 citationsarXiv
Reasoning Up the Instruction Ladder for Controllable Language Models2511.04694v5 · Zishuo Zheng, Vidhisha Balachandran, Chan Young Park et al.2025 · 0 citationsFindings of the Association for Computational Linguistics: ACL 2026, pages 39332-39354
CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity2510.20091v3 · Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu et al.2025 · 0 citationsarXiv
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations2510.17733v1 · Tong Chen, Akari Asai, Luke Zettlemoyer et al.2025 · 0 citationsarXiv
PrefDisco: Benchmarking Proactive Personalized Reasoning2510.00177v2 · Shuyue Stella Li, Avinandan Bose, Faeze Brahman et al.2025 · 0 citationsarXiv
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences2506.00195v2 · Mingqian Zheng, Wenjia Hu, Patrick Zhao et al.2025 · 1 citationarXiv
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data2504.14452v2 · Tong Chen, Faeze Brahman, Jiacheng Liu et al.2025 · 1 citationarXiv
Large-Scale Data Selection for Instruction Tuning2503.01807v2 · Hamish Ivison, Muru Zhang, Faeze Brahman et al.2025 · 0 citationsarXiv
ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning2502.14860v2 · Shuyue Stella Li, Jimin Mun, Faeze Brahman et al.2025 · 0 citationsarXiv
IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance2502.08395v3 · Paul Rottger, Musashi Hinck, Valentin Hofmann et al.2025 · 2 citationsarXiv
2 OLMo 2 Furious2501.00656v3 · Team OLMo, Pete Walsh, Luca Soldaini et al.2024 · 2 citationsarXiv
Multi-Attribute Constraint Satisfaction via Language Model Rewriting2412.19198v1 · Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman et al.2024 · 0 citationsarXiv
Tulu 3: Pushing Frontiers in Open Language Model Post-Training2411.15124v5 · Nathan Lambert, Jacob Morrison, Valentina Pyatkin et al.2024 · 12 citationsarXiv
RESTOR: Knowledge Recovery in Machine Unlearning2411.00204v3 · Keivan Rezaei, Khyathi Chandu, Soheil Feizi et al.2024 · 0 citationsarXiv
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback2410.19133v5 · Lester James V. Miranda, Yizhong Wang, Yanai Elazar et al.2024 · 2 citationsarXiv
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions2409.16427v4 · Xuhui Zhou, Hyunwoo Kim, Faeze Brahman et al.2024 · 1 citationarXiv
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents2409.09013v2 · Zhe Su, Xuhui Zhou, Sanketh Rangreji et al.2024 · 6 citationsarXiv
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement2407.18370v1 · Jaehun Jung, Faeze Brahman, Yejin Choi2024 · 3 citationsarXiv
The Art of Saying No: Contextual Noncompliance in Language Models2407.12043v2 · Faeze Brahman, Sachin Kumar, Vidhisha Balachandran et al.2024 · 8 citationsarXiv
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models2407.00369v1 · Jaeyoung Lee, Ximing Lu, Jack Hessel et al.2024 · 3 citationsarXiv
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models2406.18510v1 · Liwei Jiang, Kavel Rao, Seungju Han et al.2024 · 17 citationsarXiv
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild2406.04770v2 · Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu et al.2024 · 4 citationsarXiv
Information-Theoretic Distillation for Reference-less Summarization2403.13780v2 · Jaehun Jung, Ximing Lu, Liwei Jiang et al.2024 · 1 citationarXiv
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization2311.09510v3 · Yash Kumar Lal, Li Zhang, Faeze Brahman et al.2023 · 1 citationarXiv
MacGyver: Are Large Language Models Creative Problem Solvers?2311.09682v4 · Yufei Tian, Abhilasha Ravichander, Lianhui Qin et al.2023 · 12 citationsarXiv
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations2311.08469v2 · Wenting Zhao, Justin T Chiu, Jena D. Hwang et al.2023 · 3 citationsarXiv
STEER: Unified Style Transfer with Expert Reinforcement2311.07167v1 · Skyler Hallinan, Faeze Brahman, Ximing Lu et al.2023 · 2 citationsarXiv
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search2311.07237v3 · Huihan Li, Yuting Ning, Zeyi Liao et al.2023 · 5 citationsarXiv
Agent Lumos: Unified and Modular Training for Open-Source Language Agents2311.05657v3 · Da Yin, Faeze Brahman, Abhilasha Ravichander et al.2023 · 18 citationsarXiv
The Generative AI Paradox: "What It Can Create, It May Not Understand"2311.00059v1 · Peter West, Ximing Lu, Nouha Dziri et al.2023 · 14 citationsarXiv
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations2310.15431v2 · Kavel Rao, Liwei Jiang, Valentina Pyatkin et al.2023 · 3 citationsarXiv
Affective and Dynamic Beam Search for Story Generation2310.15079v1 · Tenghao Huang, Ehsan Qasemi, Bangzheng Li et al.2023 · 1 citationarXiv
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers2309.12570v3 · Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman et al.2023 · 10 citationsarXiv
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning2305.19472v3 · Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin et al.2023 · 4 citationsarXiv
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks2305.17390v2 · Bill Yuchen Lin, Yicheng Fu, Karina Yang et al.2023 · 50 citationsarXiv
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing2305.16635v4 · Jaehun Jung, Peter West, Liwei Jiang et al.2023 · 2 citationsarXiv
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models2305.14718v5 · Ashutosh Baheti, Ximing Lu, Faeze Brahman et al.2023 · 0 citationsarXiv
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning2305.15065v2 · Ximing Lu, Faeze Brahman, Peter West et al.2023 · 7 citationsarXiv
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation2212.01956v1 · Faeze Brahman, Baolin Peng, Michel Galley et al.2022 · 0 citationsarXiv
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization2212.01476v2 · Chao Zhao, Faeze Brahman, Kaiqiang Song et al.2022 · 8 citationsarXiv
Towards Inter-character Relationship-driven Story Generation2211.00676v1 · Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi2022 · 3 citationsarXiv
Generating Sequences by Learning to Self-Correct2211.00053v1 · Sean Welleck, Ximing Lu, Peter West et al.2022 · 41 citationsarXiv
REV: Information-Theoretic Evaluation of Free-Text Rationales2210.04982v5 · Hanjie Chen, Faeze Brahman, Xiang Ren et al.2022 · 15 citationsarXiv
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach2205.13183v1 · Chao Zhao, Faeze Brahman, Tenghao Huang et al.2022 · 5 citationsarXiv
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations2205.11822v2 · Jaehun Jung, Lianhui Qin, Sean Welleck et al.2022 · 98 citationsarXiv
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference2109.06437v1 · Tenghao Huang, Faeze Brahman, Vered Shwartz et al.2021 · 17 citationsarXiv
Career total: 82 works. 56 are in this corpus.Showing the 50 most recent.
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