| Modeling personal biases in language use by inducing personalized word embeddings D Oba, N Yoshinaga, S Sato, S Akasaki, M Toyoda Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 16 | 2019 |
| In-Contextual Gender Bias Suppression for Large Language Models D Oba, M Kaneko, D Bollegala Findings of the Association for Computational Linguistics: EACL 2024, 1722-1742, 2024 | 10* | 2024 |
| Exploratory model analysis using data-driven neuron representations D Oba, N Yoshinaga, M Toyoda Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting …, 2021 | 3 | 2021 |
| Understanding interpersonal variations in word meanings via review target identification D Oba, S Sato, N Yoshinaga, S Akasaki, M Toyoda International Conference on Computational Linguistics and Intelligent Text …, 2019 | 3 | 2019 |
| Entity embedding completion for wide-coverage entity disambiguation D Oba, I Yamada, N Yoshinaga, M Toyoda Findings of the Association for Computational Linguistics: EMNLP 2022, 6333-6344, 2022 | 2 | 2022 |
| Dynamic data augmentation with gating networks for time series recognition D Oba, S Matsuo, BK Iwana 2022 26th International Conference on Pattern Recognition (ICPR), 3034-3040, 2022 | 2 | 2022 |
| Personal semantic variations in word meanings: Induction, application, and analysis D Oba, S Sato, S Akasaki, N Yoshinaga, M Toyoda Journal of Natural Language Processing 27 (2), 467-490, 2020 | 2 | 2020 |
| Dynamic data augmentation with gating networks D Oba, S Matsuo, BK Iwana arXiv preprint arXiv:2111.03253, 2021 | 1 | 2021 |
| Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge X Zhao, N Yoshinaga, D Oba arXiv preprint arXiv:2403.05189, 2024 | | 2024 |
| PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts D Oba, N Yoshinaga, M Toyoda arXiv preprint arXiv:2309.07727, 2023 | | 2023 |
