2 papers
cs.IR2024
A Survey of Generative Information Retrieval
Tzu-Lin Kuo, Tzu-Wei Chiu, Tzung-Sheng Lin +3
Generative Retrieval (GR) is an emerging paradigm in information retrieval that leverages generative models to directly map queries to relevant document identifiers (DocIDs) withou…
cs.CL2024
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering
Yuan Gao, Yiheng Zhu, Yuanbin Cao +6
Open Domain Multi-Hop Question Answering (ODMHQA) plays a crucial role in Natural Language Processing (NLP) by aiming to answer complex questions through multi-step reasoning over…