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Dr. Zhiwei Liu is a senior research scientist at Salesforce AI Research. He received his Ph.D. degree from University of Illinois at Chicago on Aug. 2022. Liu's research interests lie in AI agents, recommender systems, large language models, and multi-modal. Dr. Liu has authored over 100 papers in top-tier venues such as ICLR, SIGIR, KDD, EMNLP, and etc, holding 12 patents globally. He serves as an Associate Editor of JMLC, Guest Editor of ACM TORS, and a program committee member for major conferences including NeurIPS, ICLR, ACL, WWW, KDD and etc.
Email: zhiweiliu [at] salesforce [dot] com [OR] jim96liu [at] gmail [dot] com
July, 2019
Latest News
Latest News
[Sep. 2025] Our paper MCPEval and SlackAgents are accepted to EMNLP demo track.
[Aug. 2025] Our paper LATTE and ActionStudio are accpeted to EMNLP main conference.
[July 2025] We release our open-source deep evaluation system, MCPEval.
[Dec. 2024] Our interns' work multi-modal action model is released!
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Contrastive self-supervised sequential recommendation with robust augmentation
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
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