BAAI attributes frontier agent failures on research tasks to retrieval drift and search polarization
Overview
BAAI reports that its fine-grained error analysis of frontier agent trajectories finds two main failure patterns.
On Deep Research tasks, Retrieval Drift accounts for 32% to 41% of failures: agents reach the right research area but fix on cited baseline papers or adjacent works instead of meeting every constraint. On Wide Research tasks, the failures split by model. Claude-Opus-4.6 shows 85.3% Unconstrained Expansion, collecting many unverified papers at the cost of precision, while Seed-2.0-Pro shows 33.3% Premature Termination, stopping after retrieving only a few candidates. BAAI concludes that agents lack stateful evidence tracking and a precise sense of scientific concept boundaries.
Written by AI from the articles below · updated Oct 20, 9:56 AM ET
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BAAI@BAAIBeijingOfficialFrontier agents fail research tasks through retrieval drift and polarized searchAIBAAI's fine-grained error analysis of frontier agent trajectories finds Deep Research failures dominated by Retrieval Drift at 32%–41%, where agents latch onto cited baseline papers instead of resolving all constraints. On Wide Research tasks, Claude-Opus-4.6 shows 85.3% Unconstrained Expansion, over-collecting unverified papers, while Seed-2.0-Pro shows 33.3% Premature Termination after retrieving only a few candidates. BAAI concludes that agents lack stateful evidence tracking and the ability to delineate precise scientific concept boundaries.

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