Optimizing Segmentation Strategies for Simultaneous Speech Translation. - Yusuke Oda; Graham Neubig; Sakriani Sakti; Tomoki Toda; Satoshi Nakamura 001 (ACL (2), 2014)

The NAIST-NTT TED talk treebank. - Graham Neubig; Katsuhito Sudoh; Yusuke Oda; Kevin Duh; Hajime Tsukada; Masaaki Nagata (IWSLT, 2014)

Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents. - Yusuke Oda; Graham Neubig; Sakriani Sakti; Tomoki Toda; Satoshi Nakamura 001 (ACL (1), 2015)

Pseudogen: A Tool to Automatically Generate Pseudo-Code from Source Code. - Hiroyuki Fudaba; Yusuke Oda; Koichi Akabe; Graham Neubig; Hideaki Hata; Sakriani Sakti; Tomoki Toda; Satoshi Nakamura 001 (ASE, 2015)

Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T). - Yusuke Oda; Hiroyuki Fudaba; Graham Neubig; Hideaki Hata; Sakriani Sakti; Tomoki Toda; Satoshi Nakamura 001 (ASE, 2015)

Ckylark: A More Robust PCFG-LA Parser. - Yusuke Oda; Graham Neubig; Sakriani Sakti; Tomoki Toda; Satoshi Nakamura 001 (HLT-NAACL, 2015)

Phrase-based Machine Translation using Multiple Preordering Candidates. - Yusuke Oda; Taku Kudo; Tetsuji Nakagawa; Taro Watanabe (COLING, 2016)

Neural Machine Translation via Binary Code Prediction. - Yusuke Oda; Philip Arthur; Graham Neubig; Koichiro Yoshino; Satoshi Nakamura 001 (ACL (1), 2017)

An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation. - Makoto Morishita; Yusuke Oda; Graham Neubig; Koichiro Yoshino; Katsuhito Sudoh; Satoshi Nakamura 001 (NMT@ACL, 2017)

Overview of the 4th Workshop on Asian Translation. - Toshiaki Nakazawa; Shohei Higashiyama; Chenchen Ding; Hideya Mino; Isao Goto; Hideto Kazawa; Yusuke Oda; Graham Neubig; Sadao Kurohashi (WAT@IJCNLP, 2017)

A Simple and Strong Baseline: NAIST-NICT Neural Machine Translation System for WAT2017 English-Japanese Translation Task. - Yusuke Oda; Katsuhito Sudoh; Satoshi Nakamura 001; Masao Utiyama; Eiichiro Sumita (WAT@IJCNLP, 2017)

DyNet: The Dynamic Neural Network Toolkit. - Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang 001; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; et al. (CoRR, 2017)

Findings of the Second Workshop on Neural Machine Translation and Generation. - Alexandra Birch; Andrew M. Finch; Minh-Thang Luong; Graham Neubig; Yusuke Oda (NMT@ACL, 2018)

Findings of the Third Workshop on Neural Generation and Translation. - Hiroaki Hayashi; Yusuke Oda; Alexandra Birch; Ioannis Konstas; Andrew M. Finch; Minh-Thang Luong; Graham Neubig; Katsuhito Sudoh (NGT@EMNLP-IJCNLP, 2019)

Findings of the Fourth Workshop on Neural Generation and Translation. - Kenneth Heafield; Hiroaki Hayashi; Yusuke Oda; Ioannis Konstas; Andrew M. Finch; Graham Neubig; Xian Li 003; Alexandra Birch (NGT@ACL, 2020)

TDDC: Timely Disclosure Documents Corpus. - Nobushige Doi; Yusuke Oda; Toshiaki Nakazawa (LREC, 2020)

Overview of the 8th Workshop on Asian Translation. - Toshiaki Nakazawa; Hideki Nakayama; Chenchen Ding; Raj Dabre; Shohei Higashiyama; Hideya Mino; Isao Goto; Win Pa Pa; Anoop Kunchukuttan; Shantipriya Parida; Ondrej Bojar; Chenhui Chu; et al. (WAT@ACL/IJCNLP, 2021)

Are Prompt-based Models Clueless? - Pride Kavumba; Ryo Takahashi; Yusuke Oda (ACL (1), 2022)

Overview of the 9th Workshop on Asian Translation. - Toshiaki Nakazawa; Hideya Mino; Isao Goto; Raj Dabre; Shohei Higashiyama; Shantipriya Parida; Anoop Kunchukuttan; Makoto Morishita; Ondrej Bojar; Chenhui Chu; Akiko Eriguchi; Kaori Abe; et al. (WAT@COLING, 2022)

Prompt Sensitivity of Language Model for Solving Programming Problems. - Atsushi Shirafuji; Takumi Ito; Makoto Morishita; Yuki Nakamura; Yusuke Oda; Jun Suzuki 001; Yutaka Watanobe (SoMeT, 2022)

Refactoring Programs Using Large Language Models with Few-Shot Examples. - Atsushi Shirafuji; Yusuke Oda; Jun Suzuki 001; Makoto Morishita; Yutaka Watanobe (APSEC, 2023)

Exploring the Robustness of Large Language Models for Solving Programming Problems. - Atsushi Shirafuji; Yutaka Watanobe; Takumi Ito; Makoto Morishita; Yuki Nakamura; Yusuke Oda; Jun Suzuki 001 (CoRR, 2023)

Engineering faster double-array Aho-Corasick automata. - Shunsuke Kanda; Koichi Akabe; Yusuke Oda (Softw. Pract. Exp., 2023)

Vaporetto: Efficient Japanese Tokenization Based on Improved Pointwise Linear Classification. - Koichi Akabe; Shunsuke Kanda; Yusuke Oda; Shinsuke Mori (CoRR, 2024)

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. - Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng 002; Hiroyuki Deguchi 002; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; et al. (CoRR, 2024)

Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization. - Taishi Nakamura; Takuya Akiba; Kazuki Fujii; Yusuke Oda; Rio Yokota; Jun Suzuki 001 (ICLR, 2025)

Developing Japanese CLIP Models Leveraging an Open-weight LLM for Large-scale Dataset Translation. - Issa Sugiura; Shuhei Kurita; Yusuke Oda; Daisuke Kawahara; Naoaki Okazaki (NAACL (Student Research Workshop), 2025)

llm-jp-modernbert: A ModernBERT Model Trained on a Large-Scale Japanese Corpus with Long Context Length. - Issa Sugiura; Kouta Nakayama; Yusuke Oda (CoRR, 2025)

Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality. - Yuto Harada; Yusuke Yamauchi; Yusuke Oda; Yohei Oseki; Yusuke Miyao; Yu Takagi (CoRR, 2025)