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Invited Talks

  • June 2026 Invited Talk at the "AI Science at Scale" Annual Meeting, Santa Fe (organized by UCOP & LANL), about AI Agents for the UC-LEAP Project Project Event
  • May 2026 Invited Talk at the University of South Carolina about Building AI that Reasons to Accelerate Real-world Discovery
  • May 2026 Invited Talk at The University of Texas at Arlington about Building AI that Reasons to Accelerate Real-world Discovery
  • April 2026 Invited Talk at the NYU Tandon School of Engineering about Building AI that Reasons to Accelerate Real-world Discovery
  • April 2026 Invited Talk at the Colorado School of Mines (Computer Science) about Building AI that Reasons to Accelerate Real-world Discovery
  • March 2026 Invited Talk at the Stanford NLP Seminar about Building AI that Reasons to Accelerate Real-world Discovery Link
  • March 2026 Invited Talk at the University of Georgia (School of Computing) about Building AI that Reasons to Accelerate Real-world Discovery
  • March 2026 Invited Talk at the New Jersey Institute of Technology (Data Science) about Building AI that Reasons to Accelerate Real-world Discovery
  • November 2025 Invited Talk at the UCSD CSE AI Seminar about Building AI That Discovers (hosted by Prithviraj (Raj) Ammanabrolu) Poster
  • July 2025 Panel at ACL 2025 (Birds of a Feather) about Bridging Human Study and LLM Agents for Social Simulation Website
  • June 2023 Invited Talk at North Carolina State University about Augmenting Language Models with Massive Tools and World Models
  • June 2023 Invited Talk at George Mason University about Augmenting Language Models with Massive Tools and World Models
  • Autumn 2022 Invited Talk at UCSD, MBZUAI, and CMU about Towards Efficient and Robust Practice of Large Language Models
  • Autumn 2022 Invited Talk at the University of Washington about Towards Efficient and Robust Practice of Large Language Models
  • March 2021 Conference Talk at WSDM 2021 about Modeling Context Pair Interaction for Pairwise Tasks on Graphs
  • January 2021 Invited Talk at the CDAC Rising Stars in Data Science Workshop, University of Chicago, about Towards Interpretable Machine Learning by Human Knowledge Reasoning
  • July 2020 Conference Talk at ACL 2020 about Rationalizing Relation Prediction from Corpus-level Statistics
  • August 2019 Conference Talk at KDD 2019, Anchorage, Alaska, about SurfCon: Synonym Discovery on Privacy-Aware Clinical Data

© 2026 Zhen Wang