Author

Yu Tian

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Preprint Sep 2026

Mitigating Object Hallucination in Large Vision-Language Models via False Discovery Controlled Visual Data Splitting

Multiple object hallucination, where large vision-language models (LVLMs) generate objects not supported by the visual input, is a persistent challenge caused by visual uncertainty during decoding. Existing methods reduce hallucinations using contrastive signals, but they rely on heuristics and lack principled control...

Chang Liu, Yu Tian, Rui-Jie Xie · 0 citations

#artificial intelligence Preprint Sep 2026

PrivMeSA: Privacy-Aware Self-Evolving Multi-Agent System for Medicine via Local-Remote LLM Collaboration

PrivMeSA is introduced, a privacy-aware self-evolving multi-agent system that learns to control disclosure and retains remote expertise for local reuse, and improves mean task accuracy over delegation by up to 15.8 percentage points.

Dan-Nong Wang, Yu-Ran Zhang, Bian-Yin Sun et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning

Privacy-preserving continual learning (PPCL) must reduce the reproduction of sensitive content while retaining useful knowledge across sequential tasks. Formal privacy guarantees characterize randomized mechanisms, whereas operational output control concerns whether a trained model selectively reduces the likelihood of...

Sheng-Tao Wen, Yun-Ying Yang, Xiang Chen et al. · 0 citations