Letian Huang

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1. 16 Oct
   L2G-SR: learned structural guidance for LLM-based symbolic regression

   Researchers propose L2G-SR, a framework that guides LLM-based symbolic regression with a learned structural verifier that complements numerical error. On LLM-SRBench, L2G-SR improves numerical fit, equation-level accuracy, and tree edit distance compared to prior LLM backbones and domains.

   Research · 1 source

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