Publication ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles Kayo Yin, Chinmay Singh, Fyodor O. Minakov, Vanessa Milan, Hal Daumé, Cyril Zhang, Alex Lu, Danielle Bragg Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing | November 2024 Projet
Publication 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
Publication Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan ToCHI | August 2024
Publication Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning Dylan Foster, Adam Block, Dipendra Misra NeurIPS 2024 | July 2024
Publication 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
Publication Impact of Decentralized Learning on Player Utilities in Stackelberg Games Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins ICML 2024 | June 2024
Publication “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
Publication «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 Projet
Publication Rich-Observation Reinforcement Learning with Continuous Latent Dynamics Yuda Song, Lili Wu, Dylan J. Foster, Akshay Krishnamurthy ICML 2024 | May 2024
