update the paper link

#2
by Sefika - opened
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  1. README.md +1 -1
README.md CHANGED
@@ -5,7 +5,7 @@ This model is a 7B [Self-RAG](https://selfrag.github.io/) model that generates o
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  Self-RAG is trained on our instruction-following corpora with interleaving passages and reflection tokens using the standard next-token prediction objective, enabling efficient and stable learning with fine-grained feedback.
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  At inference, we leverage reflection tokens covering diverse aspects of generations to sample the best output aligning users' preferences.
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- See full descriptions in See full descriptions in [our paper](hhttps://arxiv.org/abs/2310.11511).
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  ## Usage
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  Here, we show an easy way to quickly download our model from HuggingFace and run with `vllm` with pre-given passages. Make sure to install dependencies listed at [self-rag/requirements.txt](https://github.com/AkariAsai/self-rag/requirements.txt).
 
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  Self-RAG is trained on our instruction-following corpora with interleaving passages and reflection tokens using the standard next-token prediction objective, enabling efficient and stable learning with fine-grained feedback.
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  At inference, we leverage reflection tokens covering diverse aspects of generations to sample the best output aligning users' preferences.
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+ See full descriptions in See full descriptions in [our paper](https://arxiv.org/abs/2310.11511).
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  ## Usage
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  Here, we show an easy way to quickly download our model from HuggingFace and run with `vllm` with pre-given passages. Make sure to install dependencies listed at [self-rag/requirements.txt](https://github.com/AkariAsai/self-rag/requirements.txt).