research
∙
06/05/2023
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
Dual encoders have been used for retrieval tasks and representation lear...
share
research
∙
12/15/2021
Large Dual Encoders Are Generalizable Retrievers
It has been shown that dual encoders trained on one domain often fail to...
research
∙
08/19/2021
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
We provide the first exploration of text-to-text transformers (T5) sente...
research
∙
10/23/2020
Neural Passage Retrieval with Improved Negative Contrast
In this paper we explore the effects of negative sampling in dual encode...
research
∙
07/09/2019
Multilingual Universal Sentence Encoder for Semantic Retrieval
We introduce two pre-trained retrieval focused multilingual sentence enc...
research
∙
02/22/2019
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
In this paper, we present an approach to learn multilingual sentence emb...
research
∙
07/31/2018
