Papers by Daiki Asami
What Makes Language Models Good-enough? (2024.findings-acl)
Copied to clipboard
| Challenge: | Psycholinguistic research suggests that humans may build a representation of linguistic input that is ‘good-enough’ for the task at hand. |
| Approach: | They create a good-enough language processing evaluation dataset to test the effects of two plausibility types, eight construction types, and three degrees of memory cost on language processing. |
| Outcome: | The proposed model evaluation against the annotated GELP reveals that models with shallower depth and fewer heads exhibit good-enough performance. |