Papers by Ryohei Kamei

1 papers
Detecting Response Generation Not Requiring Factual Judgment (2024.naacl-srw)

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Challenge: Large language models (LLMs) have undergone considerable development and can solve various natural language processing tasks.
Approach: They aimed to achieve both attractiveness and factuality in a dialogue response by crowdsourcing a dataset and performing classification tasks on several models.
Outcome: The proposed model with the highest classification accuracy could yield about 88% accurate classification results.

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