Towards Robust Argumentative Essay Understanding via TIDE: An Interactive Framework with Trial and Debate
The article discusses a new framework called TIDE aimed at improving the understanding of argumentative essays. This framework integrates a Trial and Debate mechanism to enhance prompt optimization for argument-related tasks. Evaluation results indicate that TIDE significantly improves performance in tasks such as Automated Essay Scoring and Argument Component Detection.
- ▪TIDE is designed to enhance criteria-based prompt optimization for argument-related tasks.
- ▪The framework addresses limitations of existing methods by reducing the impact of noisy training data.
- ▪Evaluation shows that TIDE improves performance across three core tasks: Automated Essay Scoring, Argument Component Detection, and Argument Relation Identification.
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Computer Science > Artificial Intelligence arXiv:2605.17247 (cs) [Submitted on 17 May 2026] Title:Towards Robust Argumentative Essay Understanding via TIDE: An Interactive Framework with Trial and Debate Authors:Zheqin Yin, Yupei Ren, Yadong Zhang, Yujiang Lu, Man Lan View a PDF of the paper titled Towards Robust Argumentative Essay Understanding via TIDE: An Interactive Framework with Trial and Debate, by Zheqin Yin and 4 other authors View PDF HTML (experimental) Abstract:Argumentative essays serve as a vital medium for assessing critical thinking and reasoning skills, yet there is limited works on accurately understanding and evaluating such texts via prompt.
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