Adaptive Adversarial Training for Meta Reinforcement Learning. - Shiqi Chen 002; Zhengyu Chen 001; Donglin Wang (IJCNN, 2021)

FELM: Benchmarking Factuality Evaluation of Large Language Models. - Shiqi Chen 002; Yiran Zhao 006; Jinghan Zhang 006; I-Chun Chern; Siyang Gao; Pengfei Liu 003; Junxian He (NeurIPS, 2023)

Composing Parameter-Efficient Modules with Arithmetic Operation. - Jinghan Zhang 006; Shiqi Chen 002; Junteng Liu; Junxian He (NeurIPS, 2023)

Evaluating Factual Consistency of Summaries with Large Language Models. - Shiqi Chen 002; Siyang Gao; Junxian He (CoRR, 2023)

Composing Parameter-Efficient Modules with Arithmetic Operations. - Jinghan Zhang 006; Shiqi Chen 002; Junteng Liu; Junxian He (CoRR, 2023)

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. - I-Chun Chern; Steffi Chern; Shiqi Chen 002; Weizhe Yuan; Kehua Feng; Chunting Zhou; Junxian He; Graham Neubig; Pengfei Liu 003 (CoRR, 2023)

On the Universal Truthfulness Hyperplane Inside LLMs. - Junteng Liu; Shiqi Chen 002; Yu Cheng 001; Junxian He (EMNLP, 2024)

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. - Shiqi Chen 002; Miao Xiong; Junteng Liu; Zhengxuan Wu; Teng Xiao; Siyang Gao; Junxian He (ICML, 2024)

Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. - Zhengyu Chen 001; Siqi Wang; Teng Xiao; Yudong Wang; Shiqi Chen 002; Xunliang Cai; Junxian He; Jingang Wang (ACL (1), 2025)

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. - Shiqi Chen 002; Tongyao Zhu; Ruochen Zhou; Jinghan Zhang 006; Siyang Gao; Juan Carlos Niebles; Mor Geva; Junxian He; Jiajun Wu 001; Manling Li (CoRR, 2025)

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. - Shiqi Chen 002; Jinghan Zhang 006; Tongyao Zhu; Wei Liu 131; Siyang Gao; Miao Xiong; Manling Li; Junxian He (CoRR, 2025)

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond. - Junteng Liu; Yuanxiang Fan; Zhuo Jiang; Han Ding; Yongyi Hu; Chi Zhang; Yiqi Shi; Shitong Weng; Aili Chen; Shiqi Chen 002; Yunan Huang; Mozhi Zhang; et al. (CoRR, 2025)

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? - Ruochen Zhou; Minrui Xu; Shiqi Chen 002; Junteng Liu; Yunqi Li; Xinxin Lin; Zhengyu Chen 001; Junxian He (CoRR, 2025)

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs. - Zhengyu Chen 001; Siqi Wang; Teng Xiao; Yudong Wang; Shiqi Chen 002; Xunliang Cai; Junxian He; Jingang Wang (CoRR, 2025)