[Colloquium] (Staff) (Colloquium) (REMINDER) (TODAY): Enabling and Evaluating Human-Agent Collaboration- Monday, February 10th

[Abigail Santana via Colloquium]

UNIVERSITY OF CHICAGO
COMPUTER SCIENCE DEPARTMENT
PRESENTS

Diyi Yang
Assistant Professor
Standford University

Date & Time: Monday, February 10, 2025, at 12:00 pm PT
Location: Online via Zoom https://ucsb.zoom.us/j/84208413943?pwd=xZBxfBKapoF1aazy8rbLm8ZaFIguOX.1#success

Title: Enabling and Evaluating Human-Agent Collaboration

Abstract: Recent advances in large language models (LLMs) have revolutionized human-AI interaction, but their success depends on addressing key challenges like privacy and effective collaboration. In this talk, we first explore PrivacyLens, a general framework to evaluate privacy leakage in LLM agents’ actions, by extending privacy-sensitive seeds into agent trajectories. By evaluating state-of-the-art models, PrivacyLens reveals contextual and long-tail privacy vulnerabilities, even under privacy-enhancing instructions. We then introduce Co-Gym, a novel framework for studying and enhancing human-agent collaboration across various tasks. Our findings reveal that collaborative agents consistently outperform their fully autonomous counterparts in task performance. Via PrivacyLens and Co-Gym, this talk highlights how to develop AI systems that are trustworthy and capable of fostering meaningful collaboration with human users.

Biography: Diyi Yang is an assistant professor in the Computer Science Department at Stanford University. Her research focuses on human-centered natural language processing and computational social science. She is a recipient of Microsoft Research Faculty Fellowship (2021), NSF CAREER Award (2022), an ONR Young Investigator Award (2023), and a Sloan Research Fellowship (2024). Her work has received multiple paper awards or nominations at top NLP and HCI conferences.


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Diyi Yang, Distinguished Lecture for ACTION | The ACTION Institute<https://action.ucsb.edu/news/diyi-yang-distinguished-lecture-action>



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