2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
When Less Is Enough: Context Selection and Prompting Strategies for Bengali News Headline Generation
Muhammad Ashad Kabir, Kawsar Ahmed, Md. Osama
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 select…
cs.CL2025
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
Md Osama, Ashim Dey, Kawsar Ahmed +1
Automatic text summarization, particularly headline generation, remains a critical yet underexplored area for Bengali religious news. Existing approaches to headline generation typ…
cs.SE2020★ 2 cited
RCM: Requirement Capturing Model for Automated Requirements Formalisation
Aya Zaki-Ismail, Mohamed Osama, Mohamed Abdelrazek +2
Most existing automated requirements formalisation techniques require system engineers to (re)write their requirements using a set of predefined requirement templates with a fixed…