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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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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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```
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