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Ke-Peng Lin

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#artificial intelligence Preprint Sep 2026

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

Persistence-Aware Credit Gating (PACG), which attenuates positive credit for unusually persistent visual claims and leaves all other credit unchanged, which extends to a larger model, a newer backbone, and the accuracy of HallusionBench also improves consistently.

Zhong-An Bi, Ke-Peng Lin, 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

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