| Discovering Universal Geometry in Embeddings with ICA H Yamagiwa*, M Oyama*, H Shimodaira Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 22 | 2023 |
| Norm of Word Embedding Encodes Information Gain M Oyama, S Yokoi, H Shimodaira Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2022 | 20 | 2022 |
| Revisiting cosine similarity via normalized ica-transformed embeddings H Yamagiwa, M Oyama, H Shimodaira Proceedings of the 31st International Conference on Computational …, 2025 | 9 | 2025 |
| Predicting drug–gene relations via analogy tasks with word embeddings H Yamagiwa, R Hashimoto, K Arakane, K Murakami, S Soeda, M Oyama, ... Scientific Reports 15 (1), 17240, 2025 | 4 | 2025 |
| Mapping 1,000+ Language Models via the Log-Likelihood Vector M Oyama, H Yamagiwa, Y Takase, H Shimodaira arXiv preprint arXiv:2502.16173, 2025 | 2 | 2025 |
| Understanding Higher-Order Correlations Among Semantic Components in Embeddings M Oyama, H Yamagiwa, H Shimodaira EMNLP 2024, 2024 | 2 | 2024 |
| Likelihood Variance as Text Importance for Resampling Texts to Map Language Models M Oyama, R Kishino, H Yamagiwa, H Shimodaira arXiv preprint arXiv:2505.15428, 2025 | 1 | 2025 |
| Revealing Language Model Trajectories via Kullback-Leibler Divergence R Kishino, Y Takase, M Oyama, H Yamagiwa, H Shimodaira arXiv preprint arXiv:2505.15353, 2025 | | 2025 |
| Analogy Tasks in BioConceptVec using Biological Pathways H Yamagiwa, R Hashimoto, K Arakane, K Murakami, M Oyama, ... IEICE Technical Report; IEICE Tech. Rep. 123 (91), 113-120, 2023 | | 2023 |
| A Mechanism of Implicit Regularization in Deep Learning M Kubo, G Sugiura, K Shinzato, M Oyama | | |