3 papers
cs.CV2025
Seeing Through Words, Speaking Through Pixels: Deep Representational Alignment Between Vision and Language Models
Zoe Wanying He, Sean Trott, Meenakshi Khosla
Recent studies show that deep vision-only and language-only models--trained on disjoint modalities--nonetheless project their inputs into a partially aligned representational space…
cs.CV2025
Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images
Cheng Jin, Fengtao Zhou, Yunfang Yu +13
Precision oncology requires accurate molecular insights, yet obtaining these directly from genomics is costly and time-consuming for broad clinical use. Predicting complex molecula…
cs.AR2025
InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs
Zifan He, Anderson Truong, Yingqi Cao +1
The rise of deep neural networks (DNNs) has driven an increased demand for computing power and memory. Modern DNNs exhibit high data volume variation (HDV) across tasks, which pose…