v1v2v3 (latest)

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

29 April 2024

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

50 / 55 papers shown

Title
AlphaEvolve: A coding agent for scientific and algorithmic discovery Alexander Novikov Ngan Vu Marvin Eisenberger Emilien Dupont Po-Sen Huang ... George Holland Alex Davies Sebastian Nowozin Pushmeet Kohli Matej Balog 33 17 0 16 Jun 2025
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression Hengzhe Zhang Qi Chen Bing Xue Mengjie Zhang 66 0 0 24 May 2025
MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback Wanhao Liu Zonglin Yang Jue Wang Lidong Bing Di Zhang Dongzhan Zhou Yuqiang Li Houqiang Li Erik Cambria Wanli Ouyang 53 0 0 23 May 2025
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Jiayi Geng Howard Chen Dilip Arumugam Thomas L. Griffiths 87 0 0 23 May 2025
Programmatic Video Prediction Using Large Language Models Hao Tang Kevin Ellis Suhas Lohit Michael J. Jones Moitreya Chatterjee VGen 98 0 0 20 May 2025
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks Thomas R. Harvey Fabian Ruehle Cristofero S. Fraser-Taliente James Halverson 74 0 0 12 May 2025
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search Fei Liu Qingfu Zhang Xialiang Tong Mingxuan Yuan K. Mao 137 0 0 28 Apr 2025
LLM-Guided Search for Deletion-Correcting Codes Franziska Weindel Reinhard Heckel LRM 93 1 0 01 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei Jin AI4TS AI4CE 522 1 0 29 Mar 2025
AgentRxiv: Towards Collaborative Autonomous Research Samuel Schmidgall Michael Moor 171 8 0 23 Mar 2025
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers Nikhil Abhyankar Parshin Shojaee Chandan K. Reddy 100 0 0 18 Mar 2025
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery Utkarsh Mall Cheng Perng Phoo Mia Chiquier Bharath Hariharan Kavita Bala Carl Vondrick 135 1 0 17 Feb 2025
LLM4AD: A Platform for Algorithm Design with Large Language Model Fei Liu Rui-Xun Zhang Zhuoliang Xie Rui Sun Kai Li Xi Lin Zhenkun Wang Zhichao Lu Qingfu Zhang 116 6 0 23 Dec 2024
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 95 2 0 22 Oct 2024
Symbolic Regression with a Learned Concept Library Arya Grayeli Atharva Sehgal Omar Costilla-Reyes Miles Cranmer Swarat Chaudhuri 95 15 0 14 Sep 2024
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma Tsun-Hsuan Wang Minghao Guo Zhiqing Sun Joshua B. Tenenbaum Daniela Rus Chuang Gan Wojciech Matusik AI4CE 87 31 0 16 May 2024
Large Language Models As Evolution Strategies Robert Tjarko Lange Yingtao Tian Yujin Tang 72 35 0 28 Feb 2024
Automated Statistical Model Discovery with Language Models Michael Y. Li Emily B. Fox Noah D. Goodman 72 19 0 27 Feb 2024
Data-driven Discovery with Large Generative Models Bodhisattwa Prasad Majumder Harshit Surana Dhruv Agarwal Sanchaita Hazra Ashish Sabharwal Peter Clark 80 13 0 21 Feb 2024
Large Language Models to Enhance Bayesian Optimization Tennison Liu Nicolás Astorga Nabeel Seedat M. Schaar 151 59 0 06 Feb 2024
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap Xingyu Wu Sheng-hao Wu Jibin Wu Liang Feng Kay Chen Tan ELM 126 72 0 18 Jan 2024
Mixtral of Experts Albert Q. Jiang Alexandre Sablayrolles Antoine Roux A. Mensch Blanche Savary ... Théophile Gervet Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LLMAG 164 1,123 0 08 Jan 2024
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4 Microsoft Research AI4Science Microsoft Quantum LM&MA ELM 80 118 0 13 Nov 2023
Large Language Models are Zero Shot Hypothesis Proposers Biqing Qi Kaiyan Zhang Haoxiang Li Kai Tian Sihang Zeng Zhang-Ren Chen Bowen Zhou 77 36 0 10 Nov 2023
Large Language Models for Scientific Synthesis, Inference and Explanation Yizhen Zheng Huan Yee Koh Jiaxin Ju A. T. Nguyen Lauren T. May Geoffrey I. Webb Shirui Pan ELM 100 36 0 12 Oct 2023
Large Language Models can Learn Rules Zhaocheng Zhu Yuan Xue Xinyun Chen Denny Zhou Jian Tang Dale Schuurmans Hanjun Dai LRM ReLM 95 70 0 10 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training Kazem Meidani Parshin Shojaee Chandan K. Reddy A. Farimani 121 19 0 03 Oct 2023
Hypothesis Search: Inductive Reasoning with Language Models Ruocheng Wang E. Zelikman Gabriel Poesia Yewen Pu Nick Haber Noah D. Goodman ReLM LRM 108 112 0 11 Sep 2023
Large Language Models as Optimizers Chengrun Yang Xuezhi Wang Yifeng Lu Hanxiao Liu Quoc V. Le Denny Zhou Xinyun Chen ODL 121 428 0 07 Sep 2023
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks Zhaofeng Wu Linlu Qiu Alexis Ross Ekin Akyürek Boyuan Chen Bailin Wang Najoung Kim Jacob Andreas Yoon Kim LRM ReLM 170 223 0 05 Jul 2023
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models Kaiyu Yang Aidan M. Swope Alex Gu Rahul Chalamala Peiyang Song Shixing Yu Saad Godil R. Prenger Anima Anandkumar RALM 113 245 0 27 Jun 2023
SciMON: Scientific Inspiration Machines Optimized for Novelty Qingyun Wang Doug Downey Heng Ji Tom Hope LLMAG 125 81 0 23 May 2023
StarCoder: may the source be with you! Raymond Li Loubna Ben Allal Yangtian Zi Niklas Muennighoff Denis Kocetkov ... Sean M. Hughes Thomas Wolf Arjun Guha Leandro von Werra H. D. Vries 127 789 0 09 May 2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Stefan Kramer Mattia Cerrato Jannis Brugger Sašo Džeroski Ross King 83 12 0 03 May 2023
Can GPT-4 Perform Neural Architecture Search? Mingkai Zheng Xiu Su Shan You Fei Wang Chao Qian Chang Xu Samuel Albanie ELM 89 59 0 21 Apr 2023
Self-Refine: Iterative Refinement with Self-Feedback Aman Madaan Niket Tandon Prakhar Gupta Skyler Hallinan Luyu Gao ... Bodhisattwa Prasad Majumder Katherine Hermann Sean Welleck Amir Yazdanbakhsh Peter Clark ReLM LRM DiffM 190 1,678 0 30 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.5K 14,761 0 15 Mar 2023
Transformer-based Planning for Symbolic Regression Parshin Shojaee Kazem Meidani A. Farimani Chandan K. Reddy 83 45 0 13 Mar 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 59 82 0 06 Mar 2023
EvoPrompting: Language Models for Code-Level Neural Architecture Search Angelica Chen David Dohan David R. So VLM LRM 103 91 0 28 Feb 2023
Language Model Crossover: Variation through Few-Shot Prompting Elliot Meyerson M. Nelson Herbie Bradley Adam Gaier Arash Moradi Amy K. Hoover Joel Lehman VLM 126 92 0 23 Feb 2023
Execution-based Code Generation using Deep Reinforcement Learning Parshin Shojaee Aneesh Jain Sindhu Tipirneni Chandan K. Reddy 111 58 0 31 Jan 2023
Language Models Can Teach Themselves to Program Better Patrick M. Haluptzok Matthew Bowers Adam Tauman Kalai ReLM SyDa LRM 99 82 0 29 Jul 2022
Symbolic Regression is NP-hard M. Virgolin S. Pissis 132 64 0 03 Jul 2022
Evolution through Large Models Joel Lehman Jonathan Gordon Shawn Jain Kamal Ndousse Cathy Yeh Kenneth O. Stanley 80 94 0 17 Jun 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 96 177 0 22 Apr 2022
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 201 262 0 29 Jul 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 91 180 0 11 Jun 2021
Probabilistic Grammars for Equation Discovery Jure Brence L. Todorovski Jannis Brugger 48 34 0 01 Dec 2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity S. Udrescu A. Tan Jiahai Feng Orisvaldo Neto Tailin Wu Max Tegmark 107 193 0 18 Jun 2020