Research · 2 November 2026
ResearchResearchers Analyze Retrieval Heads in Multimodal LLMs
The paper examines how retrieval heads—sparse attention heads that transfer context to output—enable evidence location in long multimodal inputs, noting prior analyses covered few modalities and models.
Why it matters
Track retrieval‑head performance in your multimodal assistants; users will expect accurate evidence extraction from long inputs.
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