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 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
Publication A Sports Analogy for Understanding Different Ways to Use AI Jake Hofman, Daniel G. Goldstein, David Rothschild Harvard Business Review | December 2023 Video
Publication Math Education with Large Language Models: Peril or Promise? Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman SSRN Electronic Journal | December 2023 Video
Publication Splice: Efficiently Removing a User’s Data from In-memory Application State Xueyuan Han, James Mickens, Siddhartha Sen 2023 Computer and Communications Security | November 2023
Publication PcLast: Discovering Plannable Continuous Latent States Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan Molu, Miro Dudík, John Langford, Alex Lamb ICML 2024 | November 2023
Publication Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression Adam Block, Dylan Foster, Akshay Krishnamurthy, Max Simchowitz, Cyril Zhang ICLR 2024 | October 2023