3 citations · 3 across the 11 of their papers we have counts for
4 papers · 1 filter
Sumi: Open Uniform Diffusion Language Model from Scratch
Mengyu Ye, Keito Kudo, Wataru Ikeda +3
Diffusion models have become a promising alternative to autoregressive models. Among these, uniform diffusion language models (UDLMs) permit any token to be updated at any step, in…
SLVMEval: Synthetic Meta Evaluation Benchmark for Text-to-Long Video Generation
Ryosuke Matsuda, Keito Kudo, Haruto Yoshida +2
This paper proposes the synthetic long-video meta-evaluation (SLVMEval), a benchmark for meta-evaluating text-to-video (T2V) evaluation systems. The proposed SLVMEval benchmark foc…
Nodes Are Early, Edges Are Late: Probing Diagram Representations in Large Vision-Language Models
Haruto Yoshida, Keito Kudo, Yoichi Aoki +4
Large vision-language models (LVLMs) demonstrate strong performance on diagram understanding benchmarks, yet they still struggle with understanding relationships between elements,…
Reconsidering Positional Supervision in Masked Diffusion Language Model Training
Mengyu Ye, Keito Kudo, Ryosuke Takahashi +1
Masked diffusion language models (MDLMs) generate text by unmasking tokens in parallel and have recently emerged as alternatives to autoregressive language models. They can be view…