A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This paper reviews geometric deep learning architectures that incorporate symmetry for molecular representation learning, highlighting their promise in molecular modelling applications.
Lingrui Mei, Jiayu Yao, Yuyao Ge, et al.
This survey introduces Context Engineering as a formal discipline for systematically optimizing information payloads for LLMs, revealing a critical asymmetry between understanding and generating complex contexts.