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Meng-Chen Qian

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#computer vision Preprint Sep 2026

OmniHallu: Unified Hallucination Detection for Cross-Modal Comprehension and Generation in Multimodal Large Language Models

OmniHallu is introduced, a unified hallucination detection framework spanning both comprehension and generation tasks across image, video, and audio modalities, and a preference-optimized trainable verifier that approximates the multi-agent decision boundary, reducing expert calls by 66% with minimal performance loss.

JianJiang Yang, Pei-Hang Li, Shan Xu et al. · 0 citations
Preprint Aug 2026

RIDGE: Region-Informed Derivative-Guided Evidence Selection for Long Video Understanding

RIDGE, a frame selection framework that reads the frame-query similarity curve as a temporal signal, partitions the timeline into structural regions and applies region-specific selection to preserve event cores, transitions, buildup, aftermath, and contextual frames under a fixed budget.

Shan Xu, Meng-Xin Luo, Meng-Chen Qian et al. · 0 citations
#artificial intelligence Preprint Aug 2026

When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems

This work proposes K-GAT (Knowledge-Guided Agent Topology Generator), a neuro-symbolic framework that formulates collaboration topology design as a knowledge-conditioned structure learning problem, integrating external evidence directly into autoregressive graph generation.

Yang-Xiao Jiang, Jia-Run Fan, Ming-Cong Xu et al. · 1 citation

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