Author

Chenxi Liu

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Preprint Oct 2026

Grounding Multimodal Reasoning with Evidence-Ablated Negatives

Reinforcement learning with verifiable rewards (RLVR) has become a powerful tool for improving multimodal reasoning. However, standard outcome supervision suffers from credit assignment ambiguity, as a model may receive positive rewards by exploiting language priors or dataset shortcuts rather than grounding its reason...

Chen-Xi Liu, Tianyi Xiong, Yan-Shuo Chen et al. · 0 citations

Preprint Oct 2026

Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning

Large language model (LLM) agents are increasingly deployed in multi-agent systems (MAS) to accomplish complex tasks. Prior black-box red-teaming attacks mainly focus on single agents, but we find that these methods are far less effective in MAS, where multiple sub-agents may not directly interact with the user. Theref...

Yu-Qi Jia, Hang-Sheng Zhang, Chen-Xi Liu et al. · 2 citations

Preprint Aug 2026

Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation

Evaluations demonstrate that RubSE substantially outperforms na\"ive self-evolution in final-round and best-round settings, achieving more stable refinement trajectories and a higher trajectory-level performance ceiling.

Tianyi Xiong, Zhengyuan Yang, Xiaofei Wang et al. · 2 citations