New arXiv work proposes L2G-SR, a framework that pairs LLMs with a learned structural verifier using tree edit distance to score candidate equations, complementing numerical error in symbolic regression…

#SymbolicRegression #LLMtools #AIresearch #PromptEngineering
https://arxiv.org/abs/2610.20685

A new arXiv paper proposes SED-MCTS, a Monte Carlo tree search method that distills structural experience to improve interpretability in PDE solution discovery from observational data. The approach aims to give clearer…

#AI #MachineLearning #SymbolicRegression #PDE
https://arxiv.org/abs/2610.12003

SymbolicArena standardizes 664 symbolic regression tasks with executable ground truth and distills them into a Core50 benchmark of 50 tasks preserving task diversity and algorithm discrimination. It also applies a…

#SymbolicRegression #AIResearch #MachineLearning
https://arxiv.org/abs/2609.35113

Check out the latest issue of AI Plus! Volume 1, Issue 1 is now available online!
www.the-innovation.org/ai-plus/arti...
#ArtificialIntelligence #FoundationModels #symbolicregression #LargeLanguageModels #computingsystems #largereasoningmodels #MultimodalLearning #EmbodiedAI #AIAgents

New arXiv paper introduces SRHarness, a domain-specific harness for agentic symbolic regression that wraps LLM-based scientific search with composable scientific actions, persistent scientific state, and…

#SymbolicRegression #LLMAgents #AIResearch #AIInfrastructure
https://arxiv.org/abs/2609.35501