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 The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers Kasia Chmielinski, Sarah Newman, Chris N. Kranzinger, Michael Hind, Jennifer Wortman Vaughan, Margaret Mitchell, Julia Stoyanovich, Angelina McMillan-Major, Emily McReynolds, Kathleen Esfahany, Mary L. Gray, Audrey Chang, Maui Hudson April 2024 Project
Publication Can large language models explore in-context? Akshay Krishnamurthy, Keegan Harris, Dylan Foster, Cyril Zhang, Aleksandrs Slivkins NeurIPS 2024 | March 2024
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 Toward Human-AI Alignment in Large-Scale Multi-Player Games Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad arXiv:2402.03575 | February 2024 Published by Microsoft Project
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
