Papers with zero-shot text-only tasks
How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input? (2022.coling-1)
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| Challenge: | Current language models have been criticised for learning language from text alone without connection between words and their meaning. |
| Approach: | They propose to train models on more sources than text to provide the lacking connection between words and their meanings. |
| Outcome: | The proposed model adaptation methods perform differently for different models and unimodal model counterparts perform on par with the VL models regardless of adaptation. |