6 авг. 2020 г. · We find that 60-70% of test-time answers are also present somewhere in the training sets. We also find that 30% of test-set questions have a near-duplicate ...

23 апр. 2021 г. · We build a test subset of (q, a) pairs which have answer overlap, but not question overlap.

Lewis et al. (2021) argues that LMs can complete the closed-book QA tasks well, mostly due to high test-train overlaps. Wang et al.

31 окт. 2023 г. · This repository contains code to support the research paper Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets.

12 сент. 2024 г. · Ideally Open-Domain Question Answering models should exhibit a number of competencies, ranging from simply memorizing questions seen at ...

6 авг. 2020 г. · A detailed study of the test sets of three popular open-domain benchmark datasets finds that 30% of test-set questions have a near-duplicate ...

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. Patrick Lewis, Pontus Stenetorp, Sebastian Riedel. Abstract Paper Connected ...

Продолжительность: 30:44
Опубликовано: 30 авг. 2020 г.

7 авг. 2020 г. · Abstract: Ideally Open-Domain Question Answering models should exhibit a number of competencies, ranging from simply memorizing questions ...

14 окт. 2021 г. · Patrick S. H. Lewis , Pontus Stenetorp, Sebastian Riedel: Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets.