| 2026 | LREC | JMTEB and JMTEB-lite: Japanese Massive Text Embedding Benchmark and Its Lightweight Version. | Shengzhe Li, Masaya Ohagi, Ryokan Ri, Akihiko Fukuchi, Tomohide Shibata, Daisuke Kawahara |
| 2025 | ACL | Large Vocabulary Size Improves Large Language Models. | Sho Takase, Ryokan Ri, Shun Kiyono, Takuya Kato |
| 2025 | EMNLP | Dynamic Injection of Entity Knowledge into Dense Retrievers. | Ikuya Yamada, Ryokan Ri, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo |
| 2024 | ACL | LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation. | Ikuya Yamada, Ryokan Ri |
| 2023 | CogSci | Emergent Communication with Attention. | Ryokan Ri, Ryo Ueda, Jason Naradowsky |
| 2022 | ACL | Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models. | Ryokan Ri, Yoshimasa Tsuruoka |
| 2022 | ACL | mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models. | Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka |
| 2022 | NAACL | EASE: Entity-Aware Contrastive Learning of Sentence Embedding. | Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen |
| 2021 | ACL | Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings. | Sosuke Nishikawa, Ryokan Ri, Yoshimasa Tsuruoka |
| 2020 | ACL | Revisiting the Context Window for Cross-lingual Word Embeddings. | Ryokan Ri, Yoshimasa Tsuruoka |