Daisuke OBA

Two papers accepted to #ICLR2026 🇧🇷 (1 first, 1 second author)
Huge thanks to my co-authors and collaborators! @Bollegala @MasahiroKaneko_ @chokkanorg @junpeikomiyama @stillpedant
More details soon!

I’ll be giving a tutorial on diffusion language models at AACL-IJCNLP 2026 on Nov. 10
w/ @Bollegala
🔗 dllm-aacl.github.io
(Slides coming soon!)
#aacl2026 @aaclmeeting

💭Grateful for the opportunity to organize my perspective on this fast-moving field and share it with the NLP community. This will be my first tutorial, so it’s a bit of a personal challenge for me as well. Looking forward to the discussions :)

🎉 Accepted at #NeurIPS2026 Main Track!

We propose DiSPO, a credit-assignment method for RL in diffusion language models.
Huge thanks to my co-authors @frt03_ @chokkanorg.
Looking forward to sharing more soon!

Our paper has been accepted to Findings of #EMNLP2026. This work brings bias evaluation of LLMs into more realistic settings.
Led by @rem_h4_ , with @MasahiroKaneko_, @Bollegala , and @chokkanorg. Details coming soon.

#YANS2026 にて共著の学生さんが株式会社サイバーエージェント賞を受賞しました🎊ありがとうございます！
> 大塚雄貴さん: 生成過程の段階的分解によるフロー言語モデルの品質改善