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MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09206v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) often struggle with hallucinations, thus hindering their reliable practical applications. Existing attention-based mitigation methods mainly rely on indirect signals (e.g., attention weights) that fail to accur…

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  1. 2026-09-10 04:00 · arXiv cs.CV
    MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads

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