Improving Answer Extraction in Context-based Question Answering Systems Using LLMs 事件

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs arXiv:2606.06197v1 Announce Type: new Abstract: Question answering (QA) systems have achieved notable progress with the advent of large language models (LLMs). However, they still face challenges in accurately extracting and generating precise answers from given contexts, particularly when dealing with complex or ambiguous queries. Existing approaches often struggle with contextual understanding, answer consisten