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Cheng-Kuan Lin

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Preprint Sep 2026

NOVA: Normal-Side Modeling for Training-Free Zero-Shot Video Anomaly Detection

NOVA is proposed, a training-free ZS-VAD framework that strengthens the normal side at both linguistic and visual levels, and introduces Normality-Aware Prompt Construction (NA), which excludes anomaly-adjacent verbs and biases normal descriptions toward static, low-motion scenes.

Wei-Chih Yin, Yu-ching Kao, Cheng-Kuan Lin et al. · 0 citations
#natural language process... Preprint Sep 2026

DeepTable: Structural Attention Biases and Tree Path Encoding for Hierarchical Table Understanding

Across three LLM backbones, DeepTable consistently improves the corresponding TableLoRA baselines on three table question answering benchmarks, achieving average gains of 7.42 points on HiTab, 3.23 points on WikiTQ, and 2.01 BLEU points on FeTaQA.

Jyun-Ying Yen, Cheng-Kuan Lin, Yu-Chee Tseng · 0 citations

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