Open access
2026
The Argonauts at SemEval 2026 Task 6: Large Language Models for Response Clarity Classification: Prompting, Fine-Tuning, and Data-Centric Approaches
A distribution-aware, LLM-augmented dataset was constructed by selectively paraphrasing minority-class instances to enhance class balance, and its performance was benchmarked against full, rebalanced, and undersampled training configurations.
Sajib Bhattacharjee, Shafiul Mahmud, Md. Refaj Hossan et al.
· SemEval@ACL · 0 citations