RESEARCHarXiv CS.LG·16h ago
Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
MLLMs frequently hallucinate objects inconsistent with visual inputs due to over-reliance on language priors, leading to a phenomenon termed "Manifold Departure". Manifold-Guided Adaptive Projection (MGAP) is proposed as a training-free decoding method to mitigate hallucinations while preserving representation structure.
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