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LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
v1v2v3 (latest)

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

29 April 2024
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
ArXiv (abs)PDFHTML

Papers citing "LLM-SR: Scientific Equation Discovery via Programming with Large Language Models"

5 / 55 papers shown
Title
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
904
42,463
0
28 May 2020
Deep symbolic regression: Recovering mathematical expressions from data
  via risk-seeking policy gradients
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K. Petersen
Mikel Landajuela
T. Nathan Mundhenk
Claudio Santiago
Soo K. Kim
Joanne T. Kim
62
319
0
10 Dec 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression
AI Feynman: a Physics-Inspired Method for Symbolic Regression
S. Udrescu
Max Tegmark
168
887
0
27 May 2019
RobustFill: Neural Program Learning under Noisy I/O
RobustFill: Neural Program Learning under Noisy I/O
Jacob Devlin
J. Uesato
Surya Bhupatiraju
Rishabh Singh
Abdel-rahman Mohamed
Pushmeet Kohli
78
393
0
21 Mar 2017
Neuro-Symbolic Program Synthesis
Neuro-Symbolic Program Synthesis
Emilio Parisotto
Abdel-rahman Mohamed
Rishabh Singh
Lihong Li
Dengyong Zhou
Pushmeet Kohli
NAI
111
322
0
06 Nov 2016
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