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Zheng-Wu Lei

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#artificial intelligence Preprint Oct 2026

From Suppression to Repair: Mitigating Object Hallucination in Large Vision-Language Models via Localized Distribution Alignment

Object hallucination remains a major obstacle for large vision-language models (LVLMs) to generate reliable content. An intuitive mitigation strategy is to suppress hallucination-related components in hidden representations. However, these components may also contain useful information, and suppressing them can weaken...

Chen Zhao, Xing-Ping Dong, Jia-Chun Shi et al. · 0 citations
#artificial intelligence Preprint Oct 2026

ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement

Adapting general-purpose large language models to specific tasks requires substantial human effort in designing data and training strategies. Sustaining improvement is especially challenging because model updates change the error distribution, requiring strategies to be continually refined. We introduce ImproveAnyTask,...

Xing-Bo Yao, Xiao-Man Wang, Zheng-Wu Lei et al. · 0 citations

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