Author

Pei-Hang Li

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#artificial intelligence Preprint Sep 2026

ArchitectureIQ: On the Measure of Training Intuition

Top researchers have good intuition, but do language models have as good intuition about model training as top AI researchers? To measure model intuition of LLMs and humans, we introduce the ArchitectureIQ benchmark. Each question presents a synthetic dataset and several training recipes, and the test-taker is asked to...

Zi-Rui Ren, Shao-Yang Guo, Chen-Cheng Tang 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