Author

K. Ahmed

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Preprint Aug 2026

When Less Is Enough: Context Selection and Prompting Strategies for Bengali News Headline Generation

Large language models (LLMs) have shown strong performance in text generation tasks, yet their effectiveness on headline generation remains sensitive to how input context is selected and presented. In this work, we investigate Bengali news headline generation as a document-level generation task that requires effective...

Muhammad Ashad Kabir, K. Ahmed, M. Osama · 0 citations

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