Question-Answering

Chain-of-Query Prompting for Efficient Small Language Models in Multi-Hop Open-Domain Question Answering
Chain-of-Query Prompting for Efficient Small Language Models in Multi-Hop Open-Domain Question Answering

We introduce Chain-of-Query (CoQ), a novel prompting approach that enhances smaller language models (LMs) in multi-hop open-domain question answering (ODQA) by decomposing complex queries into context-aware subqueries, improving efficiency and factual accuracy. CoQ demonstrates up to 5.4% and 11.5% performance gains for small-scale and large-scale LMs, respectively, on benchmark datasets, making it a valuable solution for complex QA tasks.

Dec 15, 2024