Author

Gyeong-Moon Park

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Preprint Sep 2026

DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware Editing

Large vision-language models (LVLMs) have recently achieved remarkable progress across multimodal tasks, yet object hallucination remains a persistent challenge where models generate descriptions inconsistent with the visual input. Recent work mitigates hallucinations through training-free representation editing, typic...

Jae-Ho Lee, Jeongjun Lee, Gyeong-Moon Park · 0 citations

#artificial intelligence Review Sep 2026

AV-SafetyBench: A Safety Benchmark for Text-to-Audio-Video Generation

The introduction of AV-SafetyBench, the first safety benchmark developed specifically for T2AV generation, is introduced and the value of AV-SafetyBench for evaluating T2AV safety across the visual and audio modalities and their interaction is demonstrated.

Su-Ah Choi, Tae-Young Lee, Gyeong-Moon Park · 0 citations

Jul 2026

OSVE: One Step Video Editing with One Step Diffusion Models

OSVE is presented, the first framework to successfully adapt one-step Text-to-Image (T2I) models for high-quality video editing, addressing the core challenges of inversion, editability, and temporal consistency.

Habin Lim, Gyeong-Moon Park · arXiv.org · 0 citations