3 papers
cs.CL2026
Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation
Sylvey Lin, Joe Menke, Shufan Ming +3
Biomedical abstracts play a critical role in downstream NLP applications, such as information retrieval, biocuration, and biomedical knowledge discovery. However, a non-trivial num…
cs.CV2026
Relative Classification Accuracy: A Calibrated Metric for Identity Consistency in Fine-Grained K-pop Face Generation
Sylvey Lin, Eranki Vasistha
Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkable success in high-fidelity image generation. However, evaluating their semantic controllability-specifically…
cs.CV2025
Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification
Sylvey Lin, Zhi-Yi Cao
We investigate whether synthetic images generated by diffusion models can enhance multi-label classification of protein subcellular localization. Specifically, we implement a simpl…