Author

Xuan-Ang Gao

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#artificial intelligence Preprint Sep 2026

Visual sensitivity is not claim retractability: persistence-aware credit assignment for multimodal reinforcement learning

Reinforcement Learning with Verifiable Rewards (RLVR) has been extended to Large Vision-Language Models (LVLMs), and perception-aware methods further encourage policies to rely on visual evidence. Yet relying on the image does not guarantee that visual claims are supported by it. Before RL training, 27.81% of the corre...

Zhong-An Bi, Ke-Peng Lin, Xuan-Ang Gao et al. · 0 citations

#machine learning Preprint Sep 2026

Quality Determines Direction, Length Shapes Magnitude: Length Control for Open-Ended Reinforcement Learning

Quality-Gated Length Advantage Shaping (QGLAS), which first computes advantages from quality rewards alone, then adds bounded bonuses only to shorter positive-advantage responses, leaving all other advantages unchanged, consistently achieves a stronger quality--length trade-off than representative baselines.

Zi-Jun Weng, Zhong-An Bi, Xuan-Ang Gao et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning

HAE-GEO is introduced, a benchmark that tracks the full trajectory from exposure to recovery under progressively more persuasive Web poisoning and finds three recurring patterns: evidence recognition degrades under the corroboration trap, agentic search improves final resistance without improving evidence recognition o...

Zhong-An Bi, Qi-Wen Wang, Jian-Rong Jiang et al. · 1 citation