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20242026
most citedDetecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

2 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

Learning an Interior Layout Policy in a Domain Specific Language Action Space

Yuhao Lu, Weichen Zhang, Wenyi Xiao +2

Indoor scene layout generation is a challenging task in interior design. Existing methods often oversimplify the task by reducing room conditions to coarse 3D bounding boxes and ne…

cs.CV2026

VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning

Wenyi Xiao, Xinchi Xu, Leilei Gan

Large Vision Language Models (LVLMs) achieve strong multimodal reasoning but frequently exhibit hallucinations and incorrect responses with high certainty, which hinders their usag…

cs.CV2025

REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation

Fulin Shi, Wenyi Xiao, Bin Chen +2

Evaluating the alignment between textual prompts and generated images is critical for ensuring the reliability and usability of text-to-image (T2I) models. However, most existing e…

cs.CV2024

MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis

Wanggui He, Siming Fu, Mushui Liu +10

Auto-regressive models have made significant progress in the realm of language generation, yet they do not perform on par with diffusion models in the domain of image synthesis. In…

cs.CV2024★ 2 cited

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Wenyi Xiao, Ziwei Huang, Leilei Gan +6

The rapidly developing Large Vision Language Models (LVLMs) have shown notable capabilities on a range of multi-modal tasks, but still face the hallucination phenomena where the ge…