论文与出版物 Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, A. Anandkumar, Furong Huang NeurIPS 2024 | September 2024
论文与出版物 Understanding the Impacts of Language Technologies’ Performance Disparities on African American Language Speakers Jay Cunningham, Su Lin Blodgett, Hal Daumé III, Christina Harrington, Hanna Wallach, Michael Madaio Findings of the Association for Computational Linguistics: ACL 2024 | August 2024
论文与出版物 Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning Dylan Foster, Adam Block, Dipendra Misra NeurIPS 2024 | July 2024
论文与出版物 As Generative Models Improve, People Adapt Their Prompts E. Jahani, Benjamin S. Manning, Joe Zhang, Hong-Yi TuYe, Mohammed Alsobay, Christos Nicolaides, Siddharth Suri, David Holtz July 2024 SSRN | July 2024
论文与出版物 Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason D. Lee, Wen Sun, Akshay Krishnamurthy, Dylan Foster ICLR 2025 | July 2024
论文与出版物 Impact of Decentralized Learning on Player Utilities in Stackelberg Games Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins ICML 2024 | June 2024
论文与出版物 Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun ICLR 2025 | June 2024
论文与出版物 “One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna Wallach, Alexandra Olteanu NAACL 2024 | June 2024
论文与出版物 “I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan 7th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024) | June 2024 项目
论文与出版物 Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF Tengyang Xie, Dylan Foster, Akshay Krishnamurthy, Corby Rosset, Ahmed Awadallah, A. Rakhlin ICLR 2025 | May 2024
微软研究院
微软研究院