Hi there👋 I'm Dylan,

senior undergrad studying AI at Gaoling School of Artificial Intelligence (GSAI), Renmin University of China (RUC), Beijing.

I am honored to be advised by Prof. Wayne Xin Zhao at RUC AI BOX.

Info: Email / CV / Twitter / GitHub

Research Interests

My primary research and study lie in the area of Machine Learning and Natural Language Processing.

As an AI researcher with a passion for interdisciplinary exploration, I am particularly passionate about a broad range of topics within AI, including Causality, Cognitive Science, Reinforcement Learning, Alignment and Explainable AI.

Publications

CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration
Xinming Hou, Mingming Yang, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Xin Zhao.

In submission, 2024

Research Experience

[Jul. 2022 - Present]@RUC AI BOX, Research Assistant, advised by Prof. Wayne Xin Zhao Research Topics: machine learning, natural language processing, explainability Delved into topics related to knowledge discernment and memory management to enhance factuality control of language models. Built a self-improvement framework in various complex cognitive and reasoning tasks, and explored the universal pipeline for building user-friendly prompts, incorporating various ICL methods. Explored Transformer mechanisms at the neuronal level, inspired by the language networks' behaviors and characteristics in the human brain, aiming to investigate LLMs’ multilingual capabilities and reasoning mechanisms.

[Jul. 2023 - Jun. 2024]@Tencent AI Lab, Research Intern, advised by Wenxiang Jiao and Xing Wang Research Topics: the self-organization and humanity of multi-agents system Explored the potential of transferring human societal work patterns to AI systems. Investigated efficient and flexible collaboration methods for LLM agents to enhance real-world complex task handling capabilities.

Education

Renmin University of China (RUC) Gaoling School of Artificial Intelligence B.E. in Artificial Intelligence with honors • Sept. 2021-Jun. 2025 (Expected)

Selected Honors and Awards

Finalist, Mathematical Contest in Modeling (top 2%), 2023

National First Prize, National College Student Mathematical Modeling Competition (top 0.60%), 2022