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
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
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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