HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses
cs.CL, cs.CE, cs.MA, cs.NE
Submitted: 2026-09-14
Updated: 2026-09-14
Comments: 22 pages, 8 figures, 5 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Multi-Agent Evolve: LLM Self-Improve through Co-evolution
- TritonDFT: Automating DFT with a Multi-Agent Framework
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents
- CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
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