Multi-hop QA challenges LLMs to link several facts stepwise to answer complex questions. The paper GenDec: A robust generative Question-decomposition method presents GenDec, an innovative technique that boosts LLMs’ reasoning abilities in multi-hop situations.

• Highlights the limitations of LLMs in following reasoning chains for multi-hop QA.
• Introduces GenDec to decompose complex questions into simpler sub-questions.
• Utilizes evidence extraction to guide LLMs towards accurate answers.
• Conducts extensive tests on models like GPT-4 and showcases significant improvements.

GenDec’s vision is a more transparent, reliable QA processing that fosters progress in RAG and entails benefits for fields like educational tech and data-driven research.