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This paper titled [From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting](https://arxiv.org/pdf/2309.04269.pdf) suggests the following prompt that may be worth including.
```tex…
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**Focus**
This issue has been opened to serve as a place to discuss how best to include the effects on individuals of changes in aggregate corporate income tax revenue.
**Background**
This topic …
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**[ UUID ]** 42306b2f-63c0-43c5-b45a-25cd6b80f64a
**[ Session Name ]** Hello, do you receive me? The other side of open science.
**[ Primary Space ]** Openness
**[ Secondary Space ]** Digital Inclusi…
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My batch_size is 64, I pretrain my model for about 50000 iterations, and get a better result than pgen`s. Then I turn on the coverage mechanism, and train the model with another 2000 iterations. The …
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Thank you for this great contribution, I'm sure it will help developing RL summarization systems.
One thing I don't understand is how to interpret the values return from the rewarder. I'd assume t…
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The original resnet [papaer](https://arxiv.org/pdf/1512.03385.pdf) summaries each layer's output size in Table 1.
The output size of last conv5_x layer (before avg_pool) is `7x7`. But `ResNet` from…
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Thank you so much for open-sourcing your implementation and for your great work! I have two questions, and your help would be much appreciated!
1) I followed the decoding using pre-trained models a…
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Hi,
This might be a dumb question but I am not getting it.
This model is supposed to perform an extractive summarization process.
But when I look at the raw data (cnn_stories), they provide a t…
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Thank you for sharing your code.
I have one minor "issue," and the second is mostly a request and question.
The issue is you have a typo in the code in the README; you need to include some commas in…
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Hi@sosuperic , According to the paper, when we back propagates the model, there should be an autoencoder reconstruction loss and average summary similarity loss, but I couldn't find the code part of …