MPLUM: A LLM-Assisted Multi-Objective Prompt Learning for High-Quality English-Urdu Summarization

Despite the impressive strides of large language models (LLMs) in text summarization, their effectiveness still hinges on well-crafted prompts, a process that remains labor-intensive, subjective, and difficult to scale. This challenge is magnified for morphologically rich Indo-Aryan languages like U...

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Bibliographic Details

Main Authors:	Muaaz Zahid Ansari, Naveen Saini, Konstantinos Zervoudakis, Diego Oliva, Marco Perez-Cisneros
Format:	Artigo
Language:	Inglês
Published:	IEEE 2026-01-01
Series:	IEEE Access
Subjects:	Prompt optimization large language models multi-objective optimization genetic algorithm text summarization natural language processing
Online Access:	https://ieeexplore.ieee.org/document/11399879/
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