Papers by Daiki Matsuoka
Analysis of the Neglect-Zero Effect in Large Language Models (2026.acl-srw)
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| Challenge: | a neglect-zero effect is a human cognitive bias in language processing . it is unclear whether LLMs also exhibit this effect . |
| Approach: | They focus on a human cognitive bias called the *neglect-zero effect* . they propose a paradigm where exposure to a preceding sentence facilitates processing of a subsequent sentence due to their similarity. |
| Outcome: | The proposed paradigm based on priming facilitates processing of a subsequent sentence due to their similarity to the target. |
Evaluating Structural Generalization in Neural Machine Translation (2024.findings-acl)
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| Challenge: | Existing studies have focused on compositional generalization with semantic parsing, but it remains unclear to what extent models can translate sentences that require structural generalization. |
| Approach: | They construct a machine translation dataset that measures compositional generalization with control of words and sentence structures. |
| Outcome: | The proposed model struggle more in structural generalization than in compositional generalization. |