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Brief, mostly facts

HybridResearcher: a 4B deep research agent beats a 397B model

Trained on Qwen3.5-4B with synthetic cross-source trajectories. It gains 30.0 pass@8 points on HybridDeepResearch and beats the 397B model by 8.3.

Read the source at huggingface.co

What the research found

HybridResearcher is a 4B agent trained on Qwen3.5-4B with synthetic cross-source trajectories and SFT plus RL, gaining 30.0 pass@8 points on HybridDeepResearch and beating the 397B Qwen3.5 model by 8.3 points, with no catastrophic forgetting on BrowseComp benchmarks.

Claims and how well the evidence supports them

  1. HybridResearcher is a 4B agent built on Qwen3.5-4B 84%
  2. HybridResearcher improves pass@8 by 30.0 points over its base model on HybridDeepResearch 98%
  3. HybridResearcher surpasses Qwen3.5-397B-A17B by 8.3 points on HybridDeepResearch 98%
  4. Training uses synthetic cross-source trajectories, SFT then RL 98%

Evidence

Actionability rated low.