Guanhua Huang (黄冠华) is a Ph.D. candidate in University of Science and Technology of China (USTC), advised by Prof. Weinan E and Prof. Zhouwang Yang. Previously, he got a Bachelor in Mathematics from University of Science and Technology of China (USTC), advised by Prof. Zhouwang Yang. He did internships at BIBDR and ByteDance, and mentored by Prof. Yucheng Yang, Dr. Yi Zhang, Dr. Jiaze Chen, Dr. Yuchen Zhang, and Dr. Yuan Lin.
Ph.D. in Data Science, 2019-2025
School of Artificial Intelligence and Data Science, University of Science and Technology of China
B.S. in Mathematics, 2015-2019
School of the Gifted Young, University of Science and Technology of China
We introduce PaSa, an advanced Paper Search agent powered by large language models. PaSa can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive and accurate results for complex scholarly queries.
We introduce a novel framework of LLM agents named AGILE (AGent that Interacts and Learns from Environments) designed to perform complex conversational tasks with users, leveraging LLMs, memory, tools, and interactions with experts.