Multi-hop Few-shot Open Rich Table Question Answering: Leveraging Large Language Models and Retrieval Techniques for Accurate Answers

MFORT-QA leverages few-shot learning, chain-of-thought prompting, and retrieval-augmented generation to accurately answer complex questions by extracting relevant information from tables and associated hyperlinked contexts.