Papers by Machi Shimmei

1 papers
Identification of Multiple Logical Interpretations in Counter-Arguments (2025.emnlp-main)

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Challenge: Counter-arguments (CAs) are a good way to improve learners' critical thinking skills . however, it is difficult to provide every learner tailored feedback due to limited human resources and heavy workloads.
Approach: They propose to annotate a dataset of 134 CAs annotated with 13 logical predicate questions and train a model with Reinforcement Learning with Verifiable Rewards to identify multiple logical interpretations.
Outcome: The proposed model performs on par with larger proprietary models.

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