3 papers
cs.SD2026
MusicMark: A Robust Generative Watermarking Framework for Music Generation
Seohwan Yun, Jeeyoung Yun, Yongjin Kim +2
AI music generation has rapidly advanced alongside commercial platforms, raising the need for reliable watermarking for provenance and attribution. However, existing audio watermar…
cs.CL2025
SGPO: Self-Generated Preference Optimization based on Self-Improver
Hyeonji Lee, Daejin Jo, Seohwan Yun +1
Large language models (LLMs), despite their extensive pretraining on diverse datasets, require effective alignment to human preferences for practical and reliable deployment. Conve…
cs.CV2025
OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation
Yoonjin Oh, Yongjin Kim, Hyomin Kim +2
Recent advances in Multimodal Large Language Models (MLLMs) have enabled unified multimodal understanding and generation. However, they still struggle with fine-grained text-image…