| 2026 | ACL | Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings. | Tomomasa Hara, Hiroto Kurita, Masaaki Imaizumi, Kentaro Inui, Sho Yokoi |
| 2026 | ACL | Timesteps of Mamba Align with Human Reading Times. | Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara, Sho Yokoi |
| 2025 | ACL | Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport. | Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira |
| 2025 | ACL | On Entity Identification in Language Models. | Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito, Kentaro Inui |
| 2025 | ICLR | SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches. | Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi |
| 2025 | ICLR | TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models. | Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba |
| 2024 | ICLR | Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2024 | NAACL | Subspace Representations for Soft Set Operations and Sentence Similarities. | Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura |
| 2023 | ACL | Unbalanced Optimal Transport for Unbalanced Word Alignment. | Yuki Arase, Han Bao, Sho Yokoi |
| 2023 | ACL | Transformer Language Models Handle Word Frequency in Prediction Head. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2023 | EMNLP | Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. | Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui |
| 2023 | EMNLP | Norm of Word Embedding Encodes Information Gain. | Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira |
| 2023 | EMNLP | Improving word mover's distance by leveraging self-attention matrix. | Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira |
| 2021 | EACL | Computationally Efficient Wasserstein Loss for Structured Labels. | Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada |
| 2021 | EMNLP | Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2021 | ICLR | Evaluation of Similarity-based Explanations. | Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, 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 | COLING | Modeling Event Salience in Narratives via Barthes' Cardinal Functions. | Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui |
| 2020 | EMNLP | Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. | Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2020 | EMNLP | Efficient Estimation of Influence of a Training Instance. | Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Word Rotator's Distance. | Sho Yokoi, Ryo Takahashi, Reina Akama, 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 |
| 2017 | IJCAI | Learning Co-Substructures by Kernel Dependence Maximization. | Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui |
| 2016 | ECAI | Link Prediction by Incidence Matrix Factorization. | Sho Yokoi, Hiroshi Kajino, Hisashi Kashima |