AINeutralarXiv – CS AI · 9h ago5/10
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Improving Answer Extraction in Context-based Question Answering Systems Using LLMs
Researchers propose an improved question answering system using fine-tuned large language models on the SQuAD dataset, achieving strong performance metrics (ROUGE-L: 86.84%, BERTScore: 95.38%). The work addresses limitations in current LLM-based QA systems' ability to extract accurate answers from given contexts, demonstrating that targeted fine-tuning substantially enhances reliability and precision.