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I don't manage to understand the difference between your few-shot and open-vocabulary models.
Your approach is based on image-only models and Open-vocabulary approach relies on a text based embedding…
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### Motivation
I notice that internval_chat/eval/evaluate_vqa.py has parameters for few-shot learning but have not been implemented correctly.
My question is:
How can we do few-shot learning …
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事前に学習された大規模な言語モデル（LM）は，少数の学習者として優れた能力を発揮します．
しかし、その成功は、モデルのパラメータのスケーリングに大きく依存しているため、学習やサービスの提供が困難になっています。
この論文では、EFLと呼ばれる新しいアプローチを提案します。
このアプローチは、小さなLMをより優れた少数決学習者に変えることができます。
このアプローチの鍵となるアイデア…
e4exp updated
3 years ago
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https://github.com/tensorflow/models/blob/master/research/object_detection/colab_tutorials/eager_few_shot_od_training_tflite.ipynb
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Hi,
Thank you guys for your work and codes. But I am a little confused that can your work be considered zero-shot or few-shot NER? Because you used a full-supervised fine-tuned NER model for Datas…
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Thank you for your impressive job!
I am working on few shot learning scenario. After reading your paper and code, I have some questions:
1. Could you please upload the few shot data split?
2. The f…
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Hello, I had the pleasure of reading your article and found it valuable. I would like to ask if you could kindly share the source code? Even a partial portion of the code would be appreciated.
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How to design prompt for summarization task?
I tried summarization task in "https://models.aminer.cn/democenter?demo=summary", it's fine.
However, when I tried to evaluate summarization task in cod…