LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. (arXiv:2205.12650v1 [cs.CL])

We study unsupervised multi-hop reranking for multi-hop QA (MQA) with
open-domain questions. Since MQA requires piecing information from multiple
documents, the main challenge thus resides in retrieving and reranking chains
of passages that support the reasoning process. Our approach relies on LargE
models with Prompt-Utilizing reranking Strategy (LEPUS): we construct an
instruction-like prompt based on a candidate document path and compute a
relevance score of the path as the probability of generating a given question,
according to a pre-trained language …

arxiv qa unsupervised