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#small language model Preprint Oct 2026

Purifying Backdoored Large Vision-Language Models by Removing Hijacked Directions

OrthoPurify is proposed, a more efficient method to purify backdoored model weights via one-step orthogonal projection, which reduces the attack success rate to near zero while preserving the original performance across diverse benchmarks, without retraining the backdoored model or introducing inference-time overhead.

Bo Yang, Hao-Chen Zhou, Zhi-Fang Zhang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

The Attribution Blind Spot: Layerwise Trajectory Diagnostics for Source Reliance in Retrieval-Augmented Language Models

A retrieval-augmented model can match a document without relying on it. Controlled knowledge conflicts make source choice observable and let us ask a second question that prediction alone cannot answer: which internal-state properties define useful intervention directions? We study paired hidden-state changes with Late...

Zhen-Qiang Yu, Wen-Peng Xing, Yun-Zhao Wei et al. · 0 citations

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