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#artificial intelligence Preprint Oct 2026

DNAlign: Dynamic Null-Space Safe Alignment for LLMs

Ensuring the safe and reliable deployment of large language models (LLMs) remains a fundamental challenge. Existing safety alignment approaches either incur high computational cost or unintentionally disrupt the model's core knowledge, leading to degraded fluency and factual accuracy on benign tasks. This reveals a per...

Ji-Sheng Dang, Yu-Shu Zhao, De-Wei Liu et al. · 0 citations
#natural language process... Preprint Aug 2026

Read-Best Is Not Steer-Best: A Probing--Steering Layer Dissociation in Omni-Modal Large Language Models

Results show that probing accuracy is a poor heuristic for selecting intervention layers and suggest a cross-architecture mid-to-late selection criterion, and identify a cross-modal emotion subspace organized by valence and arousal.

Yi-Bo Wang, Ji-Sheng Dang, Bi-Mei Wang et al. · 1 citation · ⚡1

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