Understanding Alignment in Multimodal LLMs: A Comprehensive Study

Preference alignment has become a crucial component in enhancing the performance of Large Language Models (LLMs), yet its impact in Multimodal Large Language Models (MLLMs) remains comparatively underexplored. Similar to language models, MLLMs for image understanding tasks encounter challenges like hallucination. In MLLMs, hallucination can occur not only by stating incorrect facts but also by producing responses that are inconsistent with the image content. A primary objective of alignment for

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ethics.ai (3 August 2026), “Understanding Alignment in Multimodal LLMs: A Comprehensive Study,” evidence record 16079, https://ethics.ai/record/16079 (originally published by Apple Machine Learning Research).

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