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Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits
Existing LLM-based agent approaches for long-horizon machine learning engineering (MLE) often use context engineering, implemented through custom harnesses that manage tools, skills, and accumulated experience. However, we find that as single-session execution lengthens, the agent's reasoning intens
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