Author

Meng-Chen Qian

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Review Oct 2026

Toward Recursive Self-Improvement in Physical AI

Recursive self-improvement (RSI) describes a system that improves not only its behavior but also the process by which it improves. Recent digital agents test this idea by rewriting their own code and checking each version with executable tests. Bringing these mechanisms into the physical world requires learning from pa...

Meng-Yang-Yu-Jing-Jia Luo, Ze-Chen Bai, Shan-Qing Xu et al. · 0 citations

#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