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01/12/2023
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
Foundation models or pre-trained models have substantially improved the ...
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11/22/2022
X^2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
Vision language pre-training aims to learn alignments between vision and...
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10/14/2022
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
Pre-trained vision-language models (VLMs) have achieved impressive resul...
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06/15/2022
Prefix Language Models are Unified Modal Learners
With the success of vision-language pre-training, we have witnessed the ...
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06/01/2022
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
In this paper, we introduce Cross-View Language Modeling, a simple and e...
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05/30/2022
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models
Recent advances in vision-language pre-training (VLP) have demonstrated ...
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11/16/2021
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Most existing methods in vision language pre-training rely on object-cen...
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10/17/2020
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
Distant supervision has been a widely used method for neural relation ex...
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08/27/2020
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
Pre-trained language models such as BERT have exhibited remarkable perfo...
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11/11/2018
Multi-labeled Relation Extraction with Attentive Capsule Network
To disclose overlapped multiple relations from a sentence still keeps ch...
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08/21/2018