| 2026 | ACL | Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings. | Ryo Kishino, Yusuke Takase, Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira |
| 2025 | ACL | Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport. | Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira |
| 2025 | ACL | Mapping 1, 000+ Language Models via the Log-Likelihood Vector. | Momose Oyama, Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira |
| 2025 | COLING | Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings. | Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira |
| 2025 | COLING | Norm of Mean Contextualized Embeddings Determines their Variance. | Hiroaki Yamagiwa, Hidetoshi Shimodaira |
| 2025 | EMNLP | Likelihood Variance as Text Importance for Resampling Texts to Map Language Models. | Momose Oyama, Ryo Kishino, Hiroaki Yamagiwa, Hidetoshi Shimodaira |
| 2024 | EMNLP | Understanding Higher-Order Correlations Among Semantic Components in Embeddings. | Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira |
| 2024 | EMNLP | Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings. | Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira |
| 2024 | WACV | Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model Estimation. | Hiroaki Yamagiwa, Yusuke Takase, Hiroyuki Kambe, Ryosuke Nakamoto |
| 2023 | EMNLP | Discovering Universal Geometry in Embeddings with ICA. | Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira |
| 2023 | EMNLP | Improving word mover's distance by leveraging self-attention matrix. | Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira |