redsearcher-long-horizon-agents

Train language models for multi-step information-seeking using dual-constrained task synthesis and cost-efficient staged learning. Generate complex queries by controlling topological complexity and information dispersion, then train atomic reasoning skills before introducing environment interaction. Achieve state-of-the-art on long-horizon search benchmarks…

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