CausalGame: Benchmarking Causal Thinking of LLM Agents in Games
Zhenhao Chen*, Yongqiang Chen*, Chenxi Liu*, Junchi Yu, Xiangchen Song, Zijian Li, Jialin Li, Philip Torr, Bo Han, Kun Zhang
ICML 2026 · Oral (0.7%)
Chenxi Liu
PhD Student · TMLR Group @ HKBU, advised by Bo Han
Visiting @ MBZUAI with Kun Zhang & Yongqiang Chen · Previously @ ZJU with Kun Kuang
I build Autonomous Agents that discover how their environment works — through Causal Discovery and Recursive Self Improvement — and continually adapt to new tasks.
Selected Papers
Discovering and Reasoning of Causality in the Hidden World with Large Language Models
Chenxi Liu*, Yongqiang Chen*, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
JMLR (under minor revision) · SIGKDD Symposium Oral 2026
On the Thinking–Language Modeling Gap in Large Language Models
Chenxi Liu*, Yongqiang Chen*, Tongliang Liu, James Cheng, Bo Han, Kun Zhang
ICLR 2026
CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
Yongqiang Chen*, Chenxi Liu*, Zhenhao Chen, Tongliang Liu, Bo Han, Kun Zhang
ICLR 2026 Workshop on Recursive Self-Improvement · Spotlight
Discovery of the Hidden World with Large Language Models
Chenxi Liu*, Yongqiang Chen*, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
NeurIPS 2024
Causal Structure Learning for Latent Intervened Non-stationary Data
Chenxi Liu, Kun Kuang
ICML 2023
Honors
- NeurIPS Scholar Award 2024
- Scholarship, School of Mathematical Sciences, Fudan University 2022
- Outstanding Undergraduate Thesis, SUSTech 2021
- First Prize, National Olympiad in Informatics in Provinces (NOIP) 2015
Talks
- Youth PhD Talk for ICLR 2026 @ AI Time 2026
- Thinking–Language Modeling Gap @ CMU CLeaR Group 2025
- Youth PhD Talk for NeurIPS 2024 @ AI Time 2024
Service & Teaching
- Reviewer: ICML · NeurIPS · ICLR · AISTATS · UAI · CLeaR · KDD; TPAMI · JAIR · TNNLS · MLJ · Neural Networks
- TA: COMP7125 Prompt Engineering for Generative AI (2025) · COMP2865 Fundamentals of Data Analysis (2024)