3 papers
cs.CL2026
Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
Yutong Gao, Qinglin Meng, Yuan Zhou +1
While Large Language Models (LLMs) have achieved strong performance across many NLP tasks, their opaque internal mechanisms hinder trustworthiness and safe deployment. Existing sur…
eess.IV2025
MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model
Bi Yuda, Jia Sihan, Gao Yutong +3
Multimodal medical imaging integrates diverse data types, such as structural and functional neuroimaging, to provide complementary insights that enhance deep learning predictions a…
cs.LG2024
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation
Yutong Gao, Vince D. Calhoun, Robyn L. Miller
Understanding the relationship between cognition and intrinsic brain activity through purely data-driven approaches remains a significant challenge in neuroscience. Resting-state f…