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Shu-Ning Zhang

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#artificial intelligence Preprint Sep 2026

Cooperative Multi-Agent Vision-Language-Action Models via Reinforced Fine Tuning

We study reinforcement learning (RL) methods for cooperative multi-agent Vision-Language-Action (VLA) models. This problem is challenging because VLAs are pretrained on large-scale single-agent data and therefore lack the fine-grained coordination skills required for inter-robot collaboration. Supervised fine-tuning (S...

Rui-Xiao Xu, W. Kenny, Zhi-Qian Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

CoVer: Conflict-Aware Claim Verification

Social media fact-checking has long been challenged by evidence-level and aggregation-level conflicts, where erroneous evidence mimics authoritative news sources. To capture this challenge and support conflict verification tasks, we present ContraNote, a large-scale real-world dataset curated from X's Community Notes s...

Shu-Ning Zhang, D. Shi, Bo-Hao Chu et al. · 0 citations