Feb 28, 2024 · In this paper, we propose to alleviate this problem by introducing a novel image-biased decoding (IBD) technique.
Feb 28, 2024 · In this paper, we propose to alleviate this problem by introducing a novel image-biased decoding. (IBD) technique. Our method derives the next-.
Experimental results verify that the proposed novel image-biased decoding technique can significantly reduce hallucinations in LVLMs and enhance the ...
A novel optimization strategy named Hallucination-Induced Optimization (HIO), which seeks to amplify the contrast between hallucinatory and targeted tokens.
Almost all current visual contrastive decoding methods attempt to mitigate these hallucinations by introducing visual uncertainty information that appropriately ...
The author proposes an image-biased decoding method to reduce hallucinations in Large Vision-Language Models by contrasting predictions from the original ...
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This section collects the benchmark papers on evaluating MLLM's hallucination. Evaluating Object Hallucination in Large Vision-Language Models [paper] [code].
Sep 12, 2024 · Almost all current visual contrastive decoding methods attempt to mitigate these hallucinations by introducing visual uncertainty information ...
This is a repository for organizing papres, codes and other resources related to hallucination of Multimodal Large Language Models (MLLM), or called Large ...
合著作者 ; Ibd: Alleviating hallucinations in large vision-language models via image-biased decoding. L Zhu, D Ji, T Chen, P Xu, J Ye, J Liu. arXiv preprint ...