Passage Query Pair

Passage query pairs are fundamental to open-domain question answering, focusing on effectively retrieving and ranking relevant passages for a given query. Current research emphasizes improving passage retrieval models, often leveraging large language models (LLMs) and exploring techniques like prompt tuning and contrastive pre-training to enhance their performance and efficiency. These advancements aim to address challenges such as data scarcity for less-resourced languages and the need for more robust and generalizable retrieval methods, ultimately impacting the accuracy and scalability of question answering systems. The development of large, automatically-created datasets is also a key area of focus to support these advancements.