arXiv:2210.03422 공식 코드 · Papers with Code

SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts

Andrés García-Silva, Cristian Berrío, José Manuel Gómez-Pérez, José Antonio Martínez-Heras, Alessandro Donati, Ilaria Roma

제출 2022-10-07

원문 초록

We present SpaceQA, to the best of our knowledge the first open-domain QA system in Space mission design. SpaceQA is part of an initiative by the European Space Agency (ESA) to facilitate the access, sharing and reuse of information about Space mission design within the agency and with the public. We adopt a state-of-the-art architecture consisting of a dense retriever and a neural reader and opt for an approach based on transfer learning rather than fine-tuning due to the lack of domain-specific annotated data. Our evaluation on a test set produced by ESA is largely consistent with the results originally reported by the evaluated retrievers and confirms the need of fine tuning for reading comprehension. As of writing this paper, ESA is piloting SpaceQA internally.

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arXiv:2507.06085공통 태그 Transfer Learning공식 코드 · Papers with Code

A Survey on Prompt Tuning

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