2 papers
cs.CL2026
Developmental approach reveals the statistical learning of Neural Language Models: Transformers generalize from the most abstract statistical patterns
Wang Bojun, Holly Jenkins, Elizabeth Wonnacott
In this study, we use a developmental approach to investigate the statistical learning and mental representation of neural language models (NLM). A series of Generative Transformer…
cs.LG2021
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks
Zhiguo Huang, Xiaowei Chen, Bojuan Wang
Numerous works have proven that existing neighbor-averaging Graph Neural Networks cannot efficiently catch structure features, and many works show that injecting structure, distanc…