2 июл. 2020 г. · In this paper, we investigate how much these models can benefit from retrieving text passages, potentially containing evidence.

In this paper, we investigate how much these models can benefit from retrieving text passages, potentially containing evidence. We obtain state-of-the-art ...

Passage retrieval is an important step in open domain question answering, and is an active area of research to improve QA systems. Initially, sparse.

One of the most prominent applications is in open-domain question answering, where the model must generate answers based on a wide range of topics. RAG has ...

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. Gautier Izacard, Edouard Grave. Abstract Paper Connected Papers Add to ...

In this paper, we investigate how much these models can benefit from retrieving text passages, potentially containing evidence. We obtain state-of-the-art ...

Leveraging passage retrieval with generative models for open domain question answering. Gautier Izacard, Edouard Grave. Keywords: Abstract Paper Similar ...

2 июл. 2020 г. · This paper proposes a general and convenient method to covering longer contexts in Open-Domain Question-Answering tasks that leverages a small encoder language ...

Leveraging Passage Retrieval with Generative Models. for Open Domain Question Answering. Gautier Izacard1,2,3 Edouard Grave1. 1. Facebook AI Research, Paris

29 дек. 2023 г. · An approach to open domain question answering. First, it retrieves support text passages from an external source of knowledge such as Wikipedia.