Publications
(^=equal contribution)
2025
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents.
[paper], [repo]
Peisong Wang^, Ruotian Ma^, Bang Zhang^, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Jia Li, Zhaopeng Tu, Xiaolong Li.
ICLR 2026Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models.
[paper], [repo]
Bang Zhang^, Ruotian Ma^, Qingxuan Jiang^, Peisong Wang^, Jiaqi Chen, Zheng Xie, Xingyu Chen, Yue Wang, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li.SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning.
[paper], [repo]
Jiaqi Chen, Bang Zhang, Ruotian Ma, Peisong Wang, Xiaodan Liang, Zhaopeng Tu, Xiaolong Li, Kwan-Yee K. Wong.
NeurIPS 2025S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning.
[paper], [repo]
Ruotian Ma^, Peisong Wang^, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du, Jia Li.
ACL 2025
2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models.
[paper], [repo]
Yuhan Li^, Peisong Wang^, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Victor Wai Kin Chan, Jia Li.
NeurIPS 2024Data-driven Uncertainty Revenue Modeling for Computation Resource Allocation in Recommendation Systems.
[paper] Feixue Liu, Yuqing Miao, Yun Ye, Peisong Wang, Xinglu Liu, Kai Zhang, Wai Kin (Victor) Chan
WSC 2024ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. [paper],[repo]
Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
KDD 2024A Survey of Graph Meets Large Language Model: Progress and Future Directions. [paper], [repo]
Yuhan Li^, Zhixun Li^, Peisong Wang^, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu.
IJCAI 2024