Author

Qiankun Li

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Preprint Jun 2026

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence

A holistic, training-free evidence-injection framework that systematically mitigates hallucinations through dual-side evidence injection and introduces a task-aware dynamic router to select modality-specific interventions based on task semantics, balancing perceptual grounding and linguistic fluency is proposed.

Rui Hao, Qiankun Li, Junyuan Mao et al. · 0 citations

Preprint Jul 2026

RareLens: Towards End-to-End Rare Disease Care via Aligning Divergent Large Language Model Reasoning

Autonomous RareLens and physicians assisted by RareLens both outperformed unaided physicians, while demonstrating that effective human-AI collaboration requires more than simply providing model outputs, and suggest a general strategy for building AI systems that operate reliably under high clinical uncertainty.

Xi Chen, Hongru Zhou, Shiyu Feng et al. · 0 citations

Preprint Jul 2026

HIVE: Understanding Post-Hallucination Reasoning in Vision Language Models

This work studies Post Hallucination Reasoning (PHR), the stage in which hallucinated semantics enter the model's inference context and influence downstream predictions, and introduces HIVE, Hallucination Inference and Verification Engine, an evaluation infrastructure that enables controlled comparisons between faithful and hallucinated captions.

Feng He, Zhenting Wang, Qifan Wang et al. · 1 citation