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@@ -10,4 +10,16 @@ It achieves a perplexity of **10.56** using a "sliding window" context, using th
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  This model was released as part of the paper ["Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval"](https://arxiv.org/pdf/2201.12431.pdf) (ICML'2022).
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- For more information, see: [https://github.com/neulab/knn-transformers](https://github.com/neulab/knn-transformers)
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This model was released as part of the paper ["Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval"](https://arxiv.org/pdf/2201.12431.pdf) (ICML'2022).
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+ For more information, see: [https://github.com/neulab/knn-transformers](https://github.com/neulab/knn-transformers)
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+
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+ If you use this model, please cite:
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+ ```
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+ @inproceedings{alon2022neuro,
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+ title={Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval},
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+ author={Alon, Uri and Xu, Frank and He, Junxian and Sengupta, Sudipta and Roth, Dan and Neubig, Graham},
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+ booktitle={International Conference on Machine Learning},
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+ pages={468--485},
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+ year={2022},
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+ organization={PMLR}
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+ }
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+ ```