Search-E1 interleaves vanilla GRPO with offline self-distillation via token-level forward KL alignment to privileged sibling trajectories, reaching 0.440 average EM on seven QA benchmarks with Qwen2.5-3B and beating open-source baselines.
Search-o1: Agentic search-enhanced large reasoning models
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Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning
Search-E1 interleaves vanilla GRPO with offline self-distillation via token-level forward KL alignment to privileged sibling trajectories, reaching 0.440 average EM on seven QA benchmarks with Qwen2.5-3B and beating open-source baselines.