MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
cs.AI, cs.CL
Submitted: 2026-06-04
Updated: 2026-10-22
Comments: 24 pages, 8 figures, 6 tables. Project page: https://internscience.github.io/MLEvolve/
Code: https://github.com/InternScience/MLEvolve
Project page: https://internscience.github.io/MLEvolve
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
- InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
- AIDE: AI-Driven Exploration in the Space of Code
- R&D-Agent: An LLM-Agent Framework Towards Autonomous Data Science
- ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
- The FM Agent
- AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
- AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
- MARS: Modular Agent with Reflective Search for Automated AI Research
- Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering
- AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents
- Mathematical exploration and discovery at scale
- MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
- MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
- AIBuildAI: An AI Agent for Automatically Building AI Models
- KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization
- Monte-Carlo Graph Search for AlphaZero
- Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search
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