Jan 25, 2023 · We propose LUMEN, a hybrid between these two extremes, pre-computing the majority of the retrieval representation and completing the encoding on ...
We propose LUMEN, a hy- brid between these two extremes, pre-computing the majority of the retrieval representation and completing the encoding on the fly using ...
Jul 23, 2023 · We propose LUMEN, a hybrid between these two extremes, pre-computing the majority of the retrieval representation and completing the encoding on ...
This work proposes LUMEN, a hybrid between these two extremes, pre-computing the majority of the retrieval representation and completing the encoding on the ...
Retrieval-augmented language models such as Fusion-in-Decoder are powerful, setting the state of the art on a variety of knowledge-intensive tasks.
Jan 25, 2023 · Retrieval-augmented language models are powerful but expensive. Some work avoids cost by pre-encoding a text corpus into a memory. LUMEN is a ...
Jan 25, 2023 · Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. Figure 2. Overview of ...
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Jan 26, 2023 · Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute Significantly ...
2023. Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. M De Jong, Y Zemlyanskiy, N ...
Cohen (2023): Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute in ICML-2023. Wenhu ...