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U. Ganegoda

1 paper hereh-index 25 citations6 works total

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  • last author1

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  • cs.CL1

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collaborators

1 paper

cs.CL2025

Comparing the Performance of LLMs in RAG-based Question-Answering: A Case Study in Computer Science Literature

Ranul Dayarathne, Uvini Ranaweera, Upeksha Ganegoda

Retrieval Augmented Generation (RAG) is emerging as a powerful technique to enhance the capabilities of Generative AI models by reducing hallucination. Thus, the increasing promine…

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