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AI · venturebeat.com · Wednesday, 19 August 2026

Your pipeline's accuracy gains may be one module cheating

MIT and Harvard researchers detail "role drift": in compound LLM pipelines, modules quietly abandon their jobs (a RAG reader answering from memory instead of retrieved evidence) while end-to-end accuracy keeps climbing. In tests it faked 86% of reported gains. Their Role Anchor fix forces modules to stay in lane.

Read the source: venturebeat.com ↗In the 19 August issue →