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Runmin Gan

1 articles · 7 co-authors · latest: 2026-02-07
14 citations · h-index 1 · 4 papersData: Semantic Scholar
Yixuan Liu · Zhiyuan Ma · Likai Tang · Xinche Zhang · Jinhao Li · Chao Xie · Sen Song

We have retold 1 papers by this author. most often about: neural networks, Large Language Models, self-supervised learning. 7 co-authors across our retellings.

deep learning in medical imaging · frame · generalization · hippocampus · Large Language Models · learning rate · medical image analysis · medical image to genomic mapping · neural network memory architecture · neural networks in spatial mapping · predictive learning neural networks · predictive model · protein language model · regularization methods · self-supervised learning · symplectic geometry · training · training data · transformers · tumor segmentation
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Neurons and Cognition2026-02-071 minarXiv:2602.07539express
How a Neural Network Learns to Speak Like a Human
A language model is a multi-layered structure where each layer processes words in its own way. At the start of training, layers are chaotic, but gradually they organize into two teams. The first team works simply: its internal geometry smooths out, becoming less tangled. The second remains complex and intricate.
Yixuan Liu·Zhiyuan Ma·Likai Tang·Runmin Gan·Xinche Zhang·Jinhao Li·Chao Xie·Sen Song
Johann Jakob BalmerHans BetheRainer Weissneural networksLarge Language Modelsself-supervised learningbraindeep learning in medical imaging
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