30 дек. 2020 г. · In this paper, we study how the memory footprint of dense retriever-reader systems can be reduced. We consider three strategies to reduce the index size.

Recently, retrieval systems based on dense rep- resentations have led to important improve- ments in open-domain question answering, and related tasks.

This paper considers three strategies to reduce the index size of dense retriever-reader systems: dimension reduction, vector quantization and passage ...

In this paper, we study how the memory footprint of dense retriever-reader systems can be reduced. We consider three strategies to reduce the index size: ...

A Memory Efficient Baseline for Open Domain Question Answering. G. Izacard, F. Petroni, L. Hosseini, N. Cao, S. Riedel, and E. Grave. CoRR, (2020 ).

9 июл. 2023 г. · the accuracy, inference speed, and memory cost of open domain question answering systems. ... A memory efficient baseline for open domain.

6 дек. 2023 г. · A memory efficient baseline for open domain question answering. ArXiv, abs/2012.15156. Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick.

Recently, retrieval systems based on dense representations have led to important improvements in open-domain question answering, and related tasks.

Quantitative analysis on memory cost, processing speed, accuracy and overall comparison are given. We hope that this work would keep interested scholars ...

A memory efficient baseline for open domain question answering. G Izacard, F Petroni, L Hosseini, N De Cao, S Riedel, E Grave. arXiv preprint arXiv:2012.15156 ...