Papers by Wing-Yee Chow
Extracting structure from an LLM - how to improve on surprisal-based models of Human Language Processing (2025.coling-main)
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| Challenge: | Existing computational models capture prediction and reanalysis using Large Language Models (LLMs) and a statistical measure known as ‘surprisal’. |
| Approach: | They propose to extract structural information from Large Language Models and a statistical measure known as ‘surprisal’ to integrate it with their learnt statistics. |
| Outcome: | The proposed model achieved higher correlation with human reading times and better predicted the garden path effect and could distinguish between sentence types with different levels of difficulty. |