Journey through the GenDec method—a robust generative technique aimed at revolutionizing Large Language Models’ (LLMs) multistep reasoning ability in Multi-hop QA (MHQA).

• GenDec is a generative question decomposition method that enhances explainability in QA models.
• It produces independent, complete sub-questions with added evidence, thereby improving reasoning abilities in the Retriever-Answer Generator (RAG) setup.
• The research evaluates GenDec’s impact and robustness across various QA systems including GPT-4 and GPT-3.5.
• Experiments conducted on HotpotQA, 2WikihopMultiHopQA, MuSiQue, and PokeMQA showcase GenDec’s effectiveness.

By pioneering a pathway for explainability in QA, GenDec offers a significant leap forward for LLMs. This robust approach could redefine how we engage with AI in complex reasoning tasks, making it a pivotal read for enthusiasts and professionals alike. Read More