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/
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[04-01.2025] We're excited to share that the data and code for the ActionStudio framework are now open-source. Discover more in our paper and explore the GitHub code under xLAM. We look forward to your feedback!
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[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.
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[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.
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[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 新智元.
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[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.
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[02.2024] Initial Release of AgentOhana and xLAM paper!
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[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.