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Yuhan Fu

3 accepted papers

2025

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization

ACL 2025finding

Multimodal Large Language Models (MLLMs) are known to hallucinate, which limits their practical applications. Recent works have attempted to apply Direct Preference Optimization (DPO) to enhance the performance of MLLMs, but have shown inconsistent improvements in mitigating hallucinations. To addre…

Cited by 0SourcePDFScholar
2025

Multi-Object Sketch Animation by Scene Decomposition and Motion Planning

ICCV 2025poster

Sketch animation, which brings static sketches to life by generating dynamic video sequences, has found widespread applications in GIF design, cartoon production, and daily entertainment. While current methods for sketch animation perform well in single-object sketch animation, they struggle in mult…

Cited by 0SourcePDFScholar
2025

PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset

CVPR 2025highlight

Multimodal Large Language Models (MLLMs) hallucinate, resulting in an emerging topic of visual hallucination evaluation (VHE). This paper contributes a ChatGPT-Prompted visual hallucination evaluation Dataset (PhD) for objective VHE at a large scale. The essence of VHE is to ask an MLLM questions ab…