Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering (2024.acl-long)
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| Challenge: | Existing approaches to solve multi-hop question are constrained by the retriever and the noise in the retrieved documents. |
| Approach: | They propose a framework that integrates parametric knowledge of large language models with external documents to solve a multi-hop question. |
| Outcome: | The proposed framework is based on the parametric knowledge of LLMs and external documents to solve a multi-hop question. |
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