Methods › Computer Vision › Math Formula Detection Models › LLM-SR
Symbolic Regression Large Language Models
LLM-SR
Introduced by Parshin Shojaee et al. in LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
LLM-SR pioneers the use of LLMs for scientific equation discovery and symbolic regression and shows how LLMs, with their vast scientific knowledge and coding capability, enhance equation discovery across various scientific fields.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience 4 Jun 2025 · 0 repositories · arXiv:2506.04282
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LLM-SR: Scientific Equation Discovery via Programming with Large Language Models 29 Apr 2024 · 2 repositories · arXiv:2404.18400
Tasks archive 2025-07-28
9 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Equation Discovery | 2 |
| Symbolic Regression | 2 |
| regression | 2 |
| Efficient Exploration | 1 |
| Interpretable Machine Learning | 1 |
| Large Language Model | 1 |
| Program induction | 1 |
| scientific discovery | 1 |
| valid | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections