Mingxiang Tuo

Mingxiang Tuo

Researcher

Deep Learning • NLP • LLM-Agent

About Me

I am a researcher specializing in Deep Learning, Natural Language Processing, and LLM-Agent technologies. My research interests focus on deep question answering systems, multi-turn user-interacting agents, and reinforcement learning for agentic tool use.

Education

M.S. in Computer Science (2018-2020)

Harbin Institute of Technology

Research Focus: Deep Question Answering

Laboratory: Research Center for Social Computing and Information Retrieval (SCIR)

Advisor: Professor Zhang Yu

B.S. in Computer Science (2014-2018)

Harbin Institute of Technology

Professional Experience

Research Scientist (2024-2025)

Meituan

Research Focus: LLM-Agent technologies and applications

Research Scientist (2020-2024)

Baidu Research Institute

Research Focus: Deep Question Answering and LLM-Agent systems

Publications

LongCat-Flash Technical Report

arXiv preprint, 2024

View Paper
MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use

arXiv preprint, 2024

View Paper
Keywords extraction with deep neural network model

Information Processing & Management, 2020

View Paper

Contact Information

Email available upon request

Beijing, China

Research & Academia