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20232025
most citedWoodpecker: Hallucination Correction for Multimodal Large Language Models

93 citations · 124 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 13 cited

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise

Chaoyou Fu, Renrui Zhang, Zihan Wang +15

The surge of interest towards Multi-modal Large Language Models (MLLMs), e.g., GPT-4V(ision) from OpenAI, has marked a significant trend in both academia and industry. They endow L…

cs.LG2023★ 1 cited

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space

Yunchen Li, Zhou Yu, Gaoqi He +4

Symmetric positive definite~(SPD) matrices have shown important value and applications in statistics and machine learning, such as FMRI analysis and traffic prediction. Previous wo…

cs.CV2023★ 2 cited

Aligning and Prompting Everything All at Once for Universal Visual Perception

Yunhang Shen, Chaoyou Fu, Peixian Chen +6

Vision foundation models have been explored recently to build general-purpose vision systems. However, predominant paradigms, driven by casting instance-level tasks as an object-wo…

cs.CV2023★ 1 cited

CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes

Yulei Qin, Xingyu Chen, Yunhang Shen +5

Webly supervised learning has attracted increasing attention for its effectiveness in exploring publicly accessible data at scale without manual annotation. However, most existing…

cs.CV2023★ 93 cited

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Shukang Yin, Chaoyou Fu, Sirui Zhao +7

Hallucination is a big shadow hanging over the rapidly evolving Multimodal Large Language Models (MLLMs), referring to the phenomenon that the generated text is inconsistent with t…