DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering

This paper addresses the challenge of answering complex multi-step questions across multiple languages using AI systems. The researchers created new multilingual benchmarks for testing these systems and developed DaPT, a framework that processes questions in both the original language and English simultaneously to better retrieve relevant information and generate answers. Their approach significantly outperforms existing systems, achieving 18.3% improvement on the hardest benchmark.