Papers with Multi-Path Reasoning Framework

1 papers
MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework (2025.emnlp-main)

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Challenge: Existing stance detection methods treat the task as a classification problem, where models output a stance label without providing interpretable reasoning paths.
Approach: They propose a framework that generates, evaluates, and integrates multiple reasoning paths to improve accuracy, robustness, and transparency in stance detection.
Outcome: The proposed framework outperforms existing models on the SEM16, VAST, and PStance datasets and is highly interpretable and reliable.

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