Xiao Yu

I am a second year Ph.D. student in Computer Science at Columbia University advised by Zhou Yu. Before joining the Ph.D. program, I was an undergrad also at Columbia University, majoring in Computer Science and minoring in Applied Physics.

🌟 Currently I am interested in:

Reinforcement Learning + LM Training

Planning Algorithms + LM Agent

🚀 My most recent work include:

arXiv

Teaching AI Agents to Search with Reflective-MCTS and Exploratory Learning

Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu

Paper

GitHub

Website

EMNLP 2024

LIONs: An Empirically Optimized Approach to Align Language Models

Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu

Paper

GitHub

NAACL 2024

Teaching Language Models to Self-Improve through Interactive Demonstrations

Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu

Paper

GitHub

ACL 2024

LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems

Xiao Yu*, Yunan Lu*, Zhou Yu

Paper

GitHub

EMNLP 2023

Prompt-Based Monte-Carlo Tree Search for Goal-oriented Dialogue Policy Planning

Xiao Yu, Maximillian Chen, Zhou Yu

Paper

GitHub