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12/19/2022
Transferring General Multimodal Pretrained Models to Text Recognition
This paper proposes a new method, OFA-OCR, to transfer multimodal pretra...
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12/08/2022
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Generalist models, which are capable of performing diverse multi-modal t...
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11/02/2022
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese
The tremendous success of CLIP (Radford et al., 2021) has promoted the r...
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05/31/2021
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation
Table-to-text generation refers to generating a descriptive text from a ...
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03/01/2021
M6: A Chinese Multimodal Pretrainer
In this work, we construct the largest dataset for multimodal pretrainin...
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12/02/2020
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
Pre-trained language models have been applied to various NLP tasks with ...
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09/28/2020
Graph-based Multi-hop Reasoning for Long Text Generation
Long text generation is an important but challenging task.The main probl...
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03/30/2020
InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining
Multi-modal pretraining for learning high-level multi-modal representati...
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08/15/2019
Towards Knowledge-Based Recommender Dialog System
In this paper, we propose a novel end-to-end framework called KBRD, whic...
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03/29/2019
