2 papers
cs.LG2026
Rethinking Soft Tokens for Parallel Decoding in Diffusion Language Models
Kodai Kawamura, Kenji Kawaguchi, Anji Liu
Diffusion language models (DLMs) enable parallel generation by predicting and committing multiple tokens at each denoising step, yet they can generate individually plausible but mu…
cs.LG2025
Approximate Domain Unlearning for Vision-Language Models
Kodai Kawamura, Yuta Goto, Rintaro Yanagi +2
Pre-trained Vision-Language Models (VLMs) exhibit strong generalization capabilities, enabling them to recognize a wide range of objects across diverse domains without additional t…