3 papers
cs.CV2026
SSPFormer: Self-Supervised Pretrained Transformer for MRI Images
Jingkai Li, Xiaoze Tian, Yuhang Shen +4
The pre-trained transformer demonstrates remarkable generalization ability in natural image processing. However, directly transferring it to magnetic resonance images faces two key…
cs.CL2025
Can "consciousness" be observed from large language model (LLM) internal states? Dissecting LLM representations obtained from Theory of Mind test with Integrated Information Theory and Span Representation analysis
Jingkai Li
Integrated Information Theory (IIT) provides a quantitative framework for explaining consciousness phenomenon, positing that conscious systems comprise elements integrated through…
q-bio.NC2024
On the Shape of Brainscores for Large Language Models (LLMs)
Jingkai Li
With the rise of Large Language Models (LLMs), the novel metric "Brainscore" emerged as a means to evaluate the functional similarity between LLMs and human brain/neural systems. O…