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PerkwE_COQA: enhance Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models
April 9, 2024, 4:50 a.m. | Pardis Moradbeiki, Nasser Ghadiri
cs.CL updates on arXiv.org arxiv.org
Abstract: Smart cities need the involvement of their residents to enhance quality of life. Conversational query-answering is an emerging approach for user engagement. There is an increasing demand of an advanced conversational question-answering that goes beyond classic systems. Existing approaches have shown that LLMs offer promising capabilities for CQA, but may struggle to capture the nuances of conversational contexts. The new approach involves understanding the content and engaging in a multi-step conversation with the user to …
abstract advanced arxiv beyond cities conversational conversational query cs.ai cs.cl demand engagement extraction language language models large language large language models life quality query question question answering smart smart cities systems type user engagement
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