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Bojun Jin

2 accepted papers

2025

A Multi-persona Framework for Argument Quality Assessment

ACL 2025long

Argument quality assessment faces inherent challenges due to its subjective nature, where different evaluators may assign varying quality scores for an argument based on personal perspectives. Although existing datasets collect opinions from multiple annotators to model subjectivity, most existing c…

2025

Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining

EMNLP 2025

The advancement of Argument Mining (AM) is hindered by a critical bottleneck: the scarcity of structure-annotated datasets, which are expensive to create manually. Inspired by recent successes in synthetic data generation across various NLP tasks, this paper explores methodologies for LLMs to genera