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Rethinking in Spikes: Mitigating Hallucinations in MDLMs with Step-Aware Decoding
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multimodaldenoisinghallucination mitigation
2611.12901
Builder Relevance
17h ago80%
Abstract
This paper presents a method to mitigate hallucinations in multimodal diffusion language models by introducing a step-aware decoding strategy.
Reality Card
Core Claim
The StepRefine method significantly reduces hallucinations in MDLMs by employing a step-aware switch between discrete denoising and latent refinement.
Method / Result
StepRefine demonstrates significant hallucination mitigation across different MDLMs on multimodal benchmarks.
Limitations
The paper does not specify the reproducibility of the results across all MDLMs or the generalizability of the method.
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