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interpretability 1knowledge retrieval 1language model pretraining 1open-domain question answering 1retrieval-augmented models 1

From the 1 of 33 linked papers with an AI index.

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20152023
most citedREALM: Retrieval-Augmented Language Model Pre-Training

521 citations · 1.5k across the 28 of their papers we have counts for

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Showing 2021 · cs.IRShow all

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cs.IR2021★ 5 cited

Large Dual Encoders Are Generalizable Retrievers

Jianmo Ni, Chen Qu, Jing Lu +8

It has been shown that dual encoders trained on one domain often fail to generalize to other domains for retrieval tasks. One widespread belief is that the bottleneck layer of a du…