Language Models Go Geometrically Blind When Predicting Material Properties
A systematic study finds that large language models consistently fail to learn spatial coordinate information in materials property prediction, with ...
A systematic study finds that large language models consistently fail to learn spatial coordinate information in materials property prediction, with ...
Researchers have shown that imposing hard constraints on the direction of input-output effects during neural network training guarantees physically consistent ...
Researchers have introduced HGA-Net, a hypergraph-based adapter that connects related examples within each mini-batch and achieves near-perfect fine-grained recognition with ...
A new AI retrosynthesis system called RetroChimera combines models with complementary inductive biases to outperform leading baselines and earn the ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine