340 citations · 634 across the 13 of their papers we have counts for
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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…
cs.IR2021★ 13 cited
MURAL: Multimodal, Multitask Retrieval Across Languages
Aashi Jain, Mandy Guo, Krishna Srinivasan +5
Both image-caption pairs and translation pairs provide the means to learn deep representations of and connections between languages. We use both types of pairs in MURAL (MUltimodal…
cs.IR2020★ 6 cited
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation
Ji Ma, Ivan Korotkov, Yinfei Yang +2
A major obstacle to the wide-spread adoption of neural retrieval models is that they require large supervised training sets to surpass traditional term-based techniques, which are…