SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression
A compositional alignment method is introduced that closes much of the modality gap between symbolic and numerical embeddings, reliably distinguish the effects of local edits that the original alignment cannot, and transfer to external SR corpora.
Benjamin Léger, Shubham Gupta, S. Mammeri et al.
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