| 2025 | ACL | Large Vocabulary Size Improves Large Language Models. | Sho Takase, Ryokan Ri, Shun Kiyono, Takuya Kato |
| 2025 | ICML | Scaling Laws for Upcycling Mixture-of-Experts Language Models. | Seng Pei Liew, Takuya Kato, Sho Takase |
| 2023 | ACL | Dynamic Structured Neural Topic Model with Self-Attention Mechanism. | Nozomu Miyamoto, Masaru Isonuma, Sho Takase, Junichiro Mori, Ichiro Sakata |
| 2023 | ACL | B2T Connection: Serving Stability and Performance in Deep Transformers. | Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki |
| 2023 | RANLP | Bridging the Gap between Subword and Character Segmentation in Pretrained Language Models. | Shun Kiyono, Sho Takase, Shengzhe Li, Toshinori Sato |
| 2022 | ACL | Word-level Perturbation Considering Word Length and Compositional Subwords. | Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki |
| 2022 | ACL | Interpretability for Language Learners Using Example-Based Grammatical Error Correction. | Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki |
| 2022 | ACL | Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation. | Sho Takase, Tatsuya Hiraoka, Naoaki Okazaki |
| 2022 | LREC | Multi-Task Learning for Cross-Lingual Abstractive Summarization. | Sho Takase, Naoaki Okazaki |
| 2022 | NAACL | ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. | Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki |
| 2021 | ACL | Joint Optimization of Tokenization and Downstream Model. | Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki |
| 2021 | NAACL | Rethinking Perturbations in Encoder-Decoders for Fast Training. | Sho Takase, Shun Kiyono |
| 2020 | ACL | Improving Truthfulness of Headline Generation. | Kazuki Matsumaru, Sho Takase, Naoaki Okazaki |
| 2020 | EMNLP | Optimizing Word Segmentation for Downstream Task. | Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki |
| 2020 | LREC | Evaluation Dataset for Zero Pronoun in Japanese to English Translation. | Sho Shimazu, Sho Takase, Toshiaki Nakazawa, Naoaki Okazaki |
| 2019 | AAAI | Character n-Gram Embeddings to Improve RNN Language Models. | Sho Takase, Jun Suzuki, Masaaki Nagata |
| 2019 | EMNLP | Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints. | Masaaki Nishino, Sho Takase, Tsutomu Hirao, Masaaki Nagata |
| 2019 | INLG | Neural Question Generation using Interrogative Phrases. | Yuichi Sasazawa, Sho Takase, Naoaki Okazaki |
| 2019 | NAACL | Positional Encoding to Control Output Sequence Length. | Sho Takase, Naoaki Okazaki |
| 2018 | ACL | An Empirical Study of Building a Strong Baseline for Constituency Parsing. | Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, Masaaki Nagata |
| 2018 | EMNLP | Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2018 | EMNLP | Direct Output Connection for a High-Rank Language Model. | Sho Takase, Jun Suzuki, Masaaki Nagata |
| 2018 | PACLIC | Reducing Odd Generation from Neural Headline Generation. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2017 | IJCNLP | Input-to-Output Gate to Improve RNN Language Models. | Sho Takase, Jun Suzuki, Masaaki Nagata |
| 2016 | ACL | Composing Distributed Representations of Relational Patterns. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2016 | EMNLP | Neural Headline Generation on Abstract Meaning Representation. | Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata |
| 2015 | PACLIC | Fast and Large-scale Unsupervised Relation Extraction. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2013 | ACL | Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media. | Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki, Kentaro Inui |
| 2012 | PACLIC | Set Expansion using Sibling Relations between Semantic Categories. | Sho Takase, Naoaki Okazaki, Kentaro Inui |