Papers with MMHalBench
LPOI: Listwise Preference Optimization for Vision Language Models (2025.acl-long)
Copied to clipboard
| Challenge: | Existing methods for aligning large VLMs with human preferences often overfit to textual information or exacerbate hallucinations. |
| Approach: | They propose an object-aware listwise preference optimization for reducing hallucinations in VLMs . they mask a critical object in an image and interpolate the masked region to form more complete images . |
| Outcome: | The proposed method outperforms existing methods in reducing hallucinations and enhancing performance on MMHalBench, AMBER, and Object HalBench. |