Abstract:
The project focuses on controlling text generation through Large Language Models (LLMs) using advanced prompt engineering and knowledge representation. The project aims to improve controllable citation text generation and enhance the reasoning ability of LLMs in mathematics word problem questionanswering. Our research contributes to generate more accurate citations and effective LLMs interaction in Question-Answering for better education quality.
