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 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 Project
Publication Rich-Observation Reinforcement Learning with Continuous Latent Dynamics Yuda Song, Lili Wu, Dylan J. Foster, Akshay Krishnamurthy ICML 2024 | May 2024
Publication Tinker, Tailor, Configure, Customize: The Articulation Work of Customizing AI Fairness Checklists Michael Madaio, Jingya Chen, Hanna Wallach, Jennifer Wortman Vaughan Computer-Supported Cooperative Work | April 2024 Project
Publication AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. Vera Liao, Jennifer Wortman Vaughan Harvard Data Science Review | February 2024 Project
Publication Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang ICML 2024 | February 2024
Publication LLF-Bench: Benchmark for Interactive Learning from Language Feedback Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan December 2023 December 2023 Github Project Project