Yu Shan Ting

Visual environmental risk recognition plays an important role in secure authentication, where a user's surroundings may reveal sensitive information or introduce potential security risks. However, existing evaluations of multimodal large language models (MLLMs) rarely examine whether models can reliably recognize, localize, and explain such risks in spatially grounded authentication scenarios.

1 Introduction Hypoglycemia in the neonatal period is of immediate clinical concern, as glucose is the primary neuronal energy source. Severe or recurrent hypoglycemia is associated with seizures and neurological impairment [1]. However, there is a lack of consensus about the glucose level at which morbidities occur.

[Submitted on 12 Sep 2025 ( v1 ), last revised 24 Jul 2026 (this version, v2)] Title:Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation View a PDF of the paper titled Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation, by Sung-Lin Tsai and 7 other authors View PDF HTML (experimental) Abstract:Accurate color alignment in text-to-image (T2I) generation is critical for applications...