Optimizing Context Injection for Educational Chatbots through Comparative Sentence and Recursive Chunking Strategies
This research addresses the common challenge of a lack of context in Question and Answer (QA) datasets in digital education, which limits the reasoning potential of Large Language Models (LLMs). To address this, we optimize an automated retrieval-based dataset generation system that systematically enriches QA pairs wit...