Papers by Toshitake Komazaki

1 papers
A Career Interview Dialogue System using Large Language Model-based Dynamic Slot Generation (2025.coling-main)

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Challenge: a slot-filling-based interview dialogue system is limited in the flexibility of information collection . authors propose a method that leverages large language models to generate new slots according to the flow of the dialogue .
Approach: They propose a slot-filling dialogue system that collects information on staff careers . they incorporate abduction into the slot generation process to enable more natural conversations .
Outcome: The proposed method improves the efficiency and quality of career interviews conducted by nursing managers.

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