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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.CL2025
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization
Daejin Jo, Jeeyoung Yun, Byungseok Roh +1
With the rapid progress of speech language models (SLMs), discrete speech tokens have emerged as a core interface between speech and text, enabling unified modeling across modaliti…
cs.CV2025
Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
Donghwan Chi, Hyomin Kim, Yoonjin Oh +7
Recently, multimodal large language models (MLLMs) have emerged as a key approach in achieving artificial general intelligence. In particular, vision-language MLLMs have been devel…