RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking Models
RankEvolve is an auto-research framework for evolving generative ranking models. It uses an Executable Operating Protocol (EOP) to declare phases, gates, branches, and loops, and a runtime enforces the compiled state machine. The framework composes complete black-box coding-agent products, including Claude Code and Codex, as execution-graph nodes that review and repair one another's work. This results in improved execution accuracy and reduced silent critical-defect rates.
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