Zero-Shot Prediction of Conversational Derailment With Large Language Models

Online discussion platforms often show a tendency for conversations to stray from the topic and devolve into personal attacks. Previous studies have trained machine learning algorithms to detect conversational derailment using supervised methods. However, creating the datasets required for supervise...

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Bibliographic Details
Main Authors: Kenya Nonaka, Mitsuo Yoshida
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10938545/
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