Papers with counter-argument-generation

1 papers
Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models (2025.findings-acl)

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Challenge: Argumentation in natural language processing (NLP) is becoming an indispensable tool in many application domains such as public policy, law, medicine, and education.
Approach: They propose a reconstructed dataset of argument and counter-argument pairs . they propose integrating dynamic external knowledge from the web to improve counter-arguments .
Outcome: The proposed method shows stronger correlation with human judgments compared to reference-based metrics.

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