SHINRA: Structuring Wikipedia by Collaborative Contribution. - Satoshi Sekine; Akio Kobayashi; Kouta Nakayama (AKBC, 2019)

LIAT Team's Extractive Summarizer at NTCIR-15 QALab PoliInfo-2. - Kouta Nakayama; Satoshi Sekine (NTCIR, 2020)

LIAT Team's Wikipedia Classifier at NTCIR-15 SHINRA2020-ML: Classification Task. - Kouta Nakayama; Satoshi Sekine (NTCIR, 2020)

Overview of SHINRA2020-ML Task. - Satoshi Sekine; Masako Nomoto; Kouta Nakayama; Asuka Sumida; Koji Matsuda (NTCIR, 2020)

SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on "Resource by Collaborative Contribution" scheme. - Satoshi Sekine; Kouta Nakayama; Maya Ando; Yu Usami; Masako Nomoto; Koji Matsuda (AKBC, 2021)

Co-Teaching Student-Model through Submission Results of Shared Task. - Kouta Nakayama; Shuhei Kurita; Akio Kobayashi; Yukino Baba; Satoshi Sekine (EMNLP (Findings), 2021)

Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities. - Satoshi Sekine; Kouta Nakayama; Masako Nomoto; Maya Ando; Asuka Sumida; Koji Matsuda (COLING, 2022)

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)

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)

AnswerCarefully: A Dataset for Improving the Safety of Japanese LLM Output. - Hisami Suzuki; Satoru Katsumata; Takashi Kodama; Tetsuro Takahashi; Kouta Nakayama; Satoshi Sekine (CoRR, 2025)

Are Checklists Really Useful for Automatic Evaluation of Generative Tasks? - Momoka Furuhashi; Kouta Nakayama; Takashi Kodama; Saku Sugawara (CoRR, 2025)