Author

Ziheng Wang

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Preprint Sep 2026

Seeing and Solving Are Not Enough for Vision-Language Models

Vision-language models (VLMs) answer visual questions by combining visual information extraction with downstream problem solving. We investigate a fundamental question: Does an incorrect answer necessarily reflect a failure in visual extraction or problem solving? A model may succeed at both abilities when tested separ...

Zi-Heng Wang, Ming-Xuan Xie, Yi-Lin Liu et al. · 0 citations

Review Sep 2026

Grounding with Confidence: Controllable Generative Video Temporal Grounding

Video temporal grounding supports applications such as video search, content review, and automated editing by localizing events described in natural language. Yet existing generative models typically output timestamps without explicit interval-level confidence scores to guide candidate selection. We separate candidate...

Jin-Hao Chen, Ben-Lei Cui, Rui-Jian Jia et al. · 0 citations

Preprint Jun 2026

Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety

As large language models are increasingly deployed in real-world systems, safety failures can still lead to harmful outputs and dangerous misuse. We argue that the essence of safety is adversarial: many failures arise not from natural inputs alone, but from strategic attempts to evade model policies and safeguards. How...

Ting Ma, Xiufeng Huang, Benlei Cui et al. · 0 citations