ResearchResearch paperReasoning & Planning · Agents & Tool Use · Evaluation & Benchmarks2 sources · Oct 17, 2026

HybridResearcher: Bridging the Structured-Unstructured Boundary for Deep Research Agents

To address this, we introduce HybridResearcher, a 4B agent trained to bridge evidence across the structured and unstructured boundary.

Key points

  • While LLM agents are increasingly capable of gathering and synthesizing evidence from a single homogeneous source, such as structured tables or unstructured data, real-world analytical questions frequently span heterogeneous sources.
  • Recent evaluations on benchmarks like HybridDeepResearch show that even frontier agents struggle when evidence must cross this boundary.
  • To build it, we synthesize cross-source bridge trajectories by starting with validated single-source tasks-such as existing text-to-SQL or web search queries-and fabricating the missing source around a bridge entity drawn from the seed's own output.
  • Evaluated on the existing HybridDeepResearch benchmark, HybridResearcher improves over our base model, Qwen3.5-4B, by 30.0 points pass@8 and surpasses the far larger Qwen3.5-397B-A17B by 8.3 points, while also improving over its base model on established, held-out single-source benchmarks (BrowseComp and BrowseComp-Plus), demonstrating that this complex cross-source reasoning can be taught directly to small models without triggering catastrophic forgetting.

Sources (2)

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Before this

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  2. Oct 16, 2026Welcome Beam: a 501B open model you can own, customize, and scale
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  5. Oct 15, 2026Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries
  6. Oct 15, 2026Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents

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