Papers by Chihiro Nakagawa

2 papers
LLM DEBATE OPPONENT : Counter-argument Generation focusing on Implicit and Critical Premises (2025.naacl-srw)

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Challenge: Recent advances in Large Language Models (LLMs) show promise in automating counter-argument generation.
Approach: They compare multi-step and one-step generation methods for counter-arguments across 100 debate topics.
Outcome: The proposed model outperforms multi-step and one-step pipelines for counter-arguments across 100 debate topics.
TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation (2022.lrec-1)

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Challenge: Argumentation and debate are effective tools for developing critical thinking skills, but it requires a lot of time and effort.
Approach: They propose to automate the process of giving diagnostic comments to students . they define criteria for a template set that can be used to evaluate the model .
Outcome: The proposed model can be used to evaluate arguments and evaluate them in real time.

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