| 2025 | IUI | User-Guided Correction of Reconstruction Errors in Structure-from-Motion. | Sotaro Kanazawa, Jinyao Zhou, Yuta Kikuchi, Sosuke Kobayashi, Chunyu Li, Fabrice Matulic, Takeo Igarashi, Keita Higuchi |
| 2023 | ACL | B2T Connection: Serving Stability and Performance in Deep Transformers. | Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki |
| 2022 | CHI | VocabEncounter: NMT-powered Vocabulary Learning by Presenting Computer-Generated Usages of Foreign Words into Users' Daily Lives. | Riku Arakawa, Hiromu Yakura, Sosuke Kobayashi |
| 2021 | EMNLP | SHAPE : Shifted Absolute Position Embedding for Transformers. | Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. | Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui |
| 2020 | EMNLP | Efficient Estimation of Influence of a Training Instance. | Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui |
| 2018 | ACL | Unsupervised Learning of Style-sensitive Word Vectors. | Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui |
| 2018 | EMNLP | Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. | Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui |
| 2018 | ICRA | Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions. | Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan |
| 2018 | NAACL | Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations. | Sosuke Kobayashi |
| 2017 | EACL | An RNN-based Binary Classifier for the Story Cloze Test. | Melissa Roemmele, Sosuke Kobayashi, Naoya Inoue, Andrew Gordon |
| 2017 | IJCNLP | Generating Stylistically Consistent Dialog Responses with Transfer Learning. | Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, Kentaro Inui |
| 2017 | IJCNLP | A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. | Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui |
| 2016 | NAACL | Dynamic Entity Representation with Max-pooling Improves Machine Reading. | Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui |