Research
My research interests lie broadly in Computer Vision and Deep Learning, with a particular focus on Diffusion Models and Multimodal Large Language Models (MLLM). I am especially interested in advancing models capable of comprehending and generating visual content, enabling them to truly perceive and understand the world.
Currently I am also open to exploring other fields of research. If you are interested in my research or have any questions, feel free to contact me!
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News
2024-09: I will join MSRA for an internship with Dr. Bin Li!
2024-07: ✨ Our paper CHOPS was accepted by COLM 2024!
2024-02: I will start my internship in NYU Courant advised by Prof. Saining Xie. Looking forward to working with Saining in New York!
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Publications
(* for equal contribution)
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CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs
Jingzhe Shi,
Jialuo Li,
Qinwei Ma,
Zaiwen Yang,
Huan Ma,
Lei Li
COLM 2024
Project Page
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arXiv
We propose CHOPS, an LLM agent designed to efficiently access user information, interact with existing systems, and provide accurate, safe responses by leveraging a combination of small and large LLMs. Validated using the CPHOS-dataset, CHOPS demonstrates its potential to enhance or replace human customer service.
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Honors and Awards
2023: Outstanding Scholarship in Social Work from Tsinghua University.
2022: Mr. and Mrs. Wong Yi-Chung Award, Friends of Tsinghua University.
2022: Outstanding Scholarship in Social Work from Tsinghua University.
2021: Member of the Chinese team of the 21st Asian Physics Olympiad (APhO).
2020: Gold Medalist 🏅 in the 37th Chinese Physics Olympiad (CPhO), ranking tenth nationwide.
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This homepage is designed based on Jon Barron's homepage and deployed on GitHub Pages. Last updated: Sept 02, 2024.
© 2024 Jialuo Li
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