3 papers
cs.CV2025
BrainMCLIP: Brain Image Decoding with Multi-Layer feature Fusion of CLIP
Tian Xia, Zihan Ma, Xinlong Wang +4
Decoding images from fMRI often involves mapping brain activity to CLIP's final semantic layer. To capture finer visual details, many approaches add a parameter-intensive VAE-based…
cs.CV2025
Uncovering Brain-Like Hierarchical Patterns in Vision-Language Models through fMRI-Based Neural Encoding
Yudan Ren, Xinlong Wang, Kexin Wang +6
While brain-inspired artificial intelligence(AI) has demonstrated promising results, current understanding of the parallels between artificial neural networks (ANNs) and human brai…
cs.CL2024
Analyzing Nobel Prize Literature with Large Language Models
Zhenyuan Yang, Zhengliang Liu, Jing Zhang +19
This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compa…