Design and Development of a Controlled Multi-agent Conversational System Using Large Language Models for Public Services: A Case Study
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A systematic evaluation of both extractive methods based on sentence ranking and an abstractive approach using a fine-tuned mT5-base model for Azerbaijani text summarization yields strong results that highlight the benefits of task specific fine-tuning for abstractive summarization, while also demonstrating the competi...
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