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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
[article]
2021
arXiv
pre-print
We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and return natural language answers. The aim of the competition was to build systems that can predict correct answers while also satisfying strict on-disk memory budgets. These memory budgets were designed to encourage contestants to explore the trade-off between storing retrieval corpora or the parameters of learned
arXiv:2101.00133v2
fatcat:i3pwpxnarzeghoo7ggjlqk57xm