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06/07/2023
M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Instruction tuning has significantly advanced large language models (LLM...
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04/10/2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
This work proposes POMP, a prompt pre-training method for vision-languag...
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06/04/2022
Rethinking the Openness of CLIP
Contrastive Language-Image Pre-training (CLIP) has demonstrated great po...
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09/23/2021
Dynamic Knowledge Distillation for Pre-trained Language Models
Knowledge distillation (KD) has been proved effective for compressing la...
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09/01/2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
Data augmentation aims to enrich training samples for alleviating the ov...
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05/28/2021
Learning Relation Alignment for Calibrated Cross-modal Retrieval
Despite the achievements of large-scale multimodal pre-training approach...
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12/29/2020
Accelerating Pre-trained Language Models via Calibrated Cascade
Dynamic early exiting aims to accelerate pre-trained language models' (P...
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11/07/2019
