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#machine learning Preprint Oct 2026

ORCA: The Annealed Spectral Conditioning Optimizer for Faster, Better LLM Training

Modern LLM optimizers such as Muon often produce weight matrices with higher effective rank than Adam, yet further spectral control has delivered only modest gains. We identify a tension behind this result: concentrated spectra can suppress gradient directions in coupled weight matrices and slow optimization, while con...

Yuan-Shi Liu, Bo-Yuan Jiang, Liang Hou et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Distributed Implicit Harm: A Compositional Safety Blind Spot in MLLM-Based Video Moderation

A multi-agent synthesis framework is developed that composes individually benign components into harmful scenarios and generates diverse DIH videos with explicit reasoning annotations, yielding a dataset of over 9,000 videos spanning visual-only and audio-visual settings.

Ruotong Wang, Zihao Zhu, Siwei Lyu et al. · 0 citations

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