Evidentiality-guided generation for knowledge-intensive NLP tasks

A Asai, M Gardner, H Hajishirzi - arXiv preprint arXiv:2112.08688, 2021 - arxiv.org
Retrieval-augmented generation models have shown state-of-the-art performance across
many knowledge-intensive NLP tasks such as open question answering and fact …
被引用次数：54 相关文章

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

A Asai, M Gardner, H Hajishirzi - openreview.net
Retrieval-augmented generation models have shown state-of-the-art performance across
many knowledge-intensive NLP tasks such as open-domain question answering and fact …

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

A Asai, M Gardner, H Hajishirzi - … of the 2022 Conference of the …, 2022 - aclanthology.org
Retrieval-augmented generation models have shown state-of-the-art performance across
many knowledge-intensive NLP tasks such as open-domain question answering and fact …

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

A Asai, M Gardner, H Hajishirzi - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Retrieval-augmented generation models have shown state-of-the-art performance across
many knowledge-intensive NLP tasks such as open question answering and fact …
[PDF] archive.org

[PDF][PDF] Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

A Asai, M Gardner, H Hajishirzi - scholar.archive.org
Retrieval-augmented generation models have shown state-of-the-art performance across
many knowledge-intensive NLP tasks such as open-domain question answering and fact …

[引用][C] Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

A Asai, M Gardner, H Hajishirzi