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#small language model Preprint Sep 2026

Backdoor as Probe: Test-Time Adversarial Defense for CLIP

Backdoor as Probe is proposed, a test-time adversarial defense for CLIP that improves average robust accuracy from 1.0\% to 52.3\% while retaining clean accuracy, achieving performance comparable to state-of-the-art methods with up to a \(5.7\times\) inference speedup.

Zhong-Qi Wang, Jie Zhang, Sen Nie et al. · 0 citations
Preprint Sep 2026

Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?

Multimodal Large Language Models have demonstrated impressive video understanding, yet their ability to reason over long-form narratives is often masked by visual-centric evaluations and inefficient context processing. Existing benchmarks over-rely on visual heuristics while marginalizing auditory cues, effectively red...

Zhao-Yang Wei, Zipeng Wang, Yu-She Cao et al. · 0 citations

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