2 papers
cs.AI2025
SRNN: Spatiotemporal Relational Neural Network for Intuitive Physics Understanding
Fei Yang
Human prowess in intuitive physics remains unmatched by machines. To bridge this gap, we argue for a fundamental shift towards brain-inspired computational principles. This paper i…
cs.CL2025
PropNet: a White-Box and Human-Like Network for Sentence Representation
Fei Yang
Transformer-based embedding methods have dominated the field of sentence representation in recent years. Although they have achieved remarkable performance on NLP missions, such as…