2 papers
cs.CC2026
Modern Hopfield Networks Require Chain-of-Thought to Solve -Hard Problems
Yang Cao, Xiaoyu Li, Yuanpeng Li +3
Modern Hopfield Networks (MHNs) have emerged as powerful components in deep learning, serving as effective replacements for pooling layers, LSTMs, and attention mechanisms. While r…
cs.LG2025
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
Yuanpeng Li
Compositional generalization is a crucial property in artificial intelligence, enabling models to handle novel combinations of known components. While most deep learning models lac…