James Caverlee
About
Howdy! I'm a Professor in the Department of Computer Science and Engineering at Texas A&M University and a Visiting Researcher at Google DeepMind. With my students and collaborators, we aim to develop trustworthy, resilient, and responsible machine learning algorithms and systems to help people connect to information and to each other. Our group focuses on personalization, efficiency, and AI risks in domains like LLMs, recommender systems, conversational systems, and speech. Our work has appeared in major venues like KDD, EMNLP, WWW, SIGIR, WSDM, AAAI, RecSys, and more. Our papers have been recognized with the 2022 SIGIR Test of Time Award Honorable Mention, the 2020 CIKM Test of Time Award, plus several Best Paper (Candidate) awards. Our research has been generously supported by an NSF CAREER award, an AFOSR Young Investigator Award, a DARPA Young Faculty Award, and multiple grants from Google, Amazon, AFOSR, DARPA, and the NSF. I was the General Co-Chair of WSDM 2020 and serve as a Senior Associate Editor of the ACM Transactions on Intelligent Systems and Technology, as well as the Senior Program Committee of many venues.
Research Performance Summary
First Recorded Paper
Discovering objects in dynamically-generated web pages
Year: 2003
Citations: 8
Venue: College of Computing, Georgia Institute of Technology
Latest Recorded Paper
DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.03670
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.