67 citations · 113 across the 9 of their papers we have counts for
25 papers
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang, Ye Xia +7
Pre-trained representations are becoming crucial for many NLP and perception tasks. While representation learning in NLP has transitioned to training on raw text without human anno…
Universal Sentence Representation Learning with Conditional Masked Language Model
Ziyi Yang, Yinfei Yang, Daniel Cer +2
This paper presents a novel training method, Conditional Masked Language Modeling (CMLM), to effectively learn sentence representations on large scale unlabeled corpora. CMLM integ…
Text-to-Image Generation Grounded by Fine-Grained User Attention
Jing Yu Koh, Jason Baldridge, Honglak Lee +1
Localized Narratives is a dataset with detailed natural language descriptions of images paired with mouse traces that provide a sparse, fine-grained visual grounding for phrases. W…
Neural Passage Retrieval with Improved Negative Contrast
Jing Lu, Gustavo Hernandez Abrego, Ji Ma +2
In this paper we explore the effects of negative sampling in dual encoder models used to retrieve passages for automatic question answering. We explore four negative sampling strat…
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation
Yinfei Yang, Ning Jin, Kuo Lin +2
Neural models that independently project questions and answers into a shared embedding space allow for efficient continuous space retrieval from large corpora. Independently comput…
MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models
Mandy Guo, Yinfei Yang, Daniel Cer +2
Retrieval question answering (ReQA) is the task of retrieving a sentence-level answer to a question from an open corpus (Ahmad et al.,2019).This paper presents MultiReQA, anew mult…