Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance. - Zhuo Li; Pengyu Cheng; Zhechao Yu; Feifei Tong; Anningzhe Gao; Tsung-Hui Chang; Xiang Wan; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang (CoRR, 2025)

MARCH: Multi-Agent Reinforced Check for Hallucination. - Zhuo Li; Yupeng Zhang; Pengyu Cheng; Jiajun Song; Mengyu Zhou; Hao Li; Shujie Hu; Yu Qin; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang (ACL (1), 2026)

SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm. - Tianyu Li; Dongchen Han; Zixuan Cao; Haofeng Huang; Mengyu Zhou; Ming Chen; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang; Gao Huang 001 (CoRR, 2026)

Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models. - Junxin Wang; Dai Guan; Weijie Qiu; Zhihang Li; Yongbo Gai; Zhengyi Yang 002; Mengyu Zhou; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang (CoRR, 2026)

Rationale Matters: Learning Transferable Rubrics via Proxy-Guided Critique for VLM Reward Models. - Weijie Qiu; Dai Guan; Junxin Wang; Zhihang Li; Yongbo Gai; Mengyu Zhou; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang (CoRR, 2026)

MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucination. - Zhuo Li; Yupeng Zhang; Pengyu Cheng; Jiajun Song; Mengyu Zhou; Hao Li; Shujie Hu; Yu Qin; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang (CoRR, 2026)

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills. - Jingwei Ni; Yihao Liu; Xinpeng Liu; Yutao Sun; Mengyu Zhou; Pengyu Cheng; Dexin Wang; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang (CoRR, 2026)

ATP-Bench: Towards Agentic Tool Planning for MLLM Interleaved Generation. - Yinuo Liu; Zi Qian; Heng Zhou; Jiahao Zhang; Yajie Zhang; Zhihang Li; Mengyu Zhou; Erchao Zhao; Xiaoxi Jiang; Guanjun Jiang (CoRR, 2026)