Crypto Ticker:
technology from Arxiv cs.ai

The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?

Hao Yin, Guangzong Si, Zilei Wang
Jun 5, 2026 at 04:00
7 Views
0 Comments

arXiv:2504.10020v4 Announce Type: replace-cross Abstract: Contrastive decoding strategies are widely used to reduce object hallucinations in multimodal large language models (MLLMs). These methods work by constructing contrastive samples to induce hallucinations and then suppressing them in the output distribution. However, this paper...

Read the full article at the source.

Was this helpful?
Share:

Comments (0)

Please login to post a comment

No comments yet. Be the first to comment!