I am a Senior Research Scientist at Salesforce AI Research. I received Ph.D. in the Department of Computer Science at the University of Illinois at Chicago. During my doctoral study, I was advised by Prof. Philip S. Yu in the BDSC Lab.
My research focuses on Conversational AI and AI Agent.
Personal Website: https://jianguoz.github.io/
-
[09.2024] Check our latest work xLAM: A Family of Large Action Models to Empower AI Agent Systems, which demonstrates top-tier performance across multiple challenging benchmarks and scenarios. Explore more through the xLAM GitHub Repo, HuggingFace Model Collections and Project Webpage.
-
[07.2024] Happy to contribute to the new work Consent in Crisis: The Rapid Decline of the AI Data Commons. See also the New York Times and Twitter.
-
[06.2024] Check our work APIGen, the best open-sourced models for function calling. Our dataset xlam-function-calling-60k is currently among the Top-2 trending datasets on HuggingFace, standing out in a field of 176,238 datasets as of July 11, 2024. See also the Twitter by Salesforce CEO, VentureBeat and ๆฐๆบๅ .
-
[03.2024] xLAM Repository and xLAM Model are released! Try it together with AgentLite benchmark or other benchmarks, which is comparable to GPT-4! See also the Paper and Twitter by Salesforce AI Research VP.
-
[02.2024] Initial Release of AgentOhana and xLAM paper!
-
[12.2023] DialogStudio GitHub has garnered 400 stars. Huggingface Data has more than 55k downloads and was previously ranked among the Top-10 trending datasets. See also the Paper and Twitter.