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BAAI reports three findings on agentic research workflows

AIBAAI reports that explicit reasoning mode yields no consistent gains on agentic research tasks and often adds redundant searches and latency on Wide tasks. Replacing DeepXiv full-text retrieval with open-web search lowers Deep accuracy from 5.42% to 3.97%, the post says.
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Our empirical findings uncover critical misconceptions in agentic research workflows:

•Longer Deliberation ≠ Better Retrieval: Explicit reasoning (THINK mode) yields no consistent gains; in Wide tasks, it often triggers redundant searches and latency without reducing hypothesis uncertainty.

•Full-Text Repositories Outperform Web Search: Replacing DeepXiv with open-web search causes Deep accuracy to drop from 5.42% to 3.97%, proving that web-visible snippets fail to capture paper-internal evidence.

•Divergent Test-Time Scaling: Scaling inference compute substantially boosts Deep Research by recovering brittle trajectory missteps, yet provides marginal gains on Wide tasks due to fundamental recall bottlenecks.

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Original title: Our empirical findings uncover critical misconceptions in agentic research workflows: