Publications

You can also find my articles on my Google Scholar profile.

2026

ICML 2026 Oral

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

Jianhui Chen*, Yuzhang Luo*, Liangming Pan

Paper Code

2026

ACL 2026 Oral

Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures

Yi Hu, Jiaqi Gu, Ruxin Wang, Zijun Yao, Hao Peng, Xiaobao Wu, Jianhui Chen, Muhan Zhang, Liangming Pan

Paper

2025

NeurIPS 2025

Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons

Jianhui Chen*, Xiaozhi Wang*, Zijun Yao, Yushi Bai, Lei Hou, Juanzi Li

Paper Code

2025

ArXiv

Are reasoning models more prone to hallucination?

Zijun Yao, Yantao Liu, Yanxu Chen, Jianhui Chen, Junfeng Fang, Lei Hou, Juanzi Li, Tat-Seng Chua

Paper

2024

ACL 2024

MAVEN-ARG: Completing the puzzle of all-in-one event understanding dataset with event argument annotation

Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li

Paper

2024

ICLR 2024

Kola: Carefully benchmarking world knowledge of large language models

Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li

Paper

2023

ArXiv

When does in-context learning fall short and why? a study on specification-heavy tasks

Hao Peng*, Xiaozhi Wang*, Jianhui Chen*, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li

Paper

2021

MICCAI Workshop on Distributed and Collaborative Learning

Bayesian graph neural networks for EEG-based emotion recognition

Jianhui Chen, , Hui Qian, Xiaoliang Gong