Papers by Kohei Tsuji
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization (2025.coling-main)
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| Challenge: | Existing methods to reduce the adverse effect of annotation errors are time-consuming because they require many trained models to detect errors. |
| Approach: | They propose a method that uses a tokenization technique called subword regularization to simulate multiple error detection models for detecting errors. |
| Outcome: | The proposed method performs weighting weighting four to five times faster than existing methods and improves in document classification and named entity recognition tasks. |
Investigating Neurons and Heads in Transformer-based LLMs for Typographical Errors (2025.emnlp-main)
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| Challenge: | Existing studies have focused on surface-level display of performance degradation due to typos. |
| Approach: | They propose a method to identify typo neurons and typo heads that work actively when inputs contain typos. |
| Outcome: | The proposed method identifies typo neurons and typo heads that work actively when inputs contain typos. |