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<i>UNIVERSITY OF CHICAGO</i></div>
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<i>COMPUTER SCIENCE DEPARTMENT</i></div>
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<i>PRESENTS</i></div>
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<b>Diyi Yang</b></div>
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<b>Assistant Professor</b></div>
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<b>Standford University</b></div>
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<b>Date & Time: Monday, February 10, 2025, at 12:00 pm PT</b></div>
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<b>Location: Online via Zoom <a href="https://ucsb.zoom.us/j/84208413943?pwd=xZBxfBKapoF1aazy8rbLm8ZaFIguOX.1#success" id="OWA57243d8a-6a7f-66a6-c4a8-6145401cc42b" class="x_OWAAutoLink" title="https://ucsb.zoom.us/j/84208413943?pwd=xZBxfBKapoF1aazy8rbLm8ZaFIguOX.1#success" data-auth="NotApplicable">
https://ucsb.zoom.us/j/84208413943?pwd=xZBxfBKapoF1aazy8rbLm8ZaFIguOX.1#success</a></b></div>
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<b>Title: Enabling and Evaluating Human-Agent Collaboration</b></div>
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<b>Abstract</b>: 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.</div>
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<b>Biography</b>: 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.</div>
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<img id="x_image_0" width="261" height="262" style="width: 261.191358px; height: 262px; max-width: 1197px;" size="1182716" contenttype="image/png" data-outlook-trace="F:2|T:2" src="cid:84e88473-5b0d-4b07-8c2c-9f385f92a7ab"></div>
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<p style="direction: ltr; text-align: left; text-indent: 0px; margin: 0px;"><span style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><a href="https://action.ucsb.edu/news/diyi-yang-distinguished-lecture-action" id="OWA69fe905a-d09e-a544-1b12-9fbce50a3135" class="x_OWAAutoLink" title="https://action.ucsb.edu/news/diyi-yang-distinguished-lecture-action" data-auth="NotApplicable" style="margin-top: 0px; margin-bottom: 0px;">Diyi
Yang, Distinguished Lecture for ACTION | The ACTION Institute</a></span></p>
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