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@@ -129,3 +129,20 @@ This model was trained on our Calculator-augmented set of
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  - [Calc Aqua-RAT](https://huggingface.co/datasets/emnlp2023/Calc-aqua_rat) ([original Aqua-RAT on HF](https://huggingface.co/datasets/aqua_rat))
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  in a standard auto-regressive setup i.e. for a conditional next-token prediction with teacher-forced prefix.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - [Calc Aqua-RAT](https://huggingface.co/datasets/emnlp2023/Calc-aqua_rat) ([original Aqua-RAT on HF](https://huggingface.co/datasets/aqua_rat))
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  in a standard auto-regressive setup i.e. for a conditional next-token prediction with teacher-forced prefix.
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+
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+ ## Cite
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+
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+ Please cite the [Calcformers paper](https://arxiv.org/abs/2305.15017) as follows:
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+
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+ ```bibtex
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+ @inproceedings{kadlcik-etal-2023-soft,
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+ title = "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems",
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+ author = "Marek Kadlčík and Michal Štefánik and Ondřej Sotolář and Vlastimil Martinek",
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+ booktitle = "Proceedings of the The 2023 Conference on Empirical Methods in Natural Language Processing: Main track",
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+ month = december,
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+ year = "2023",
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+ address = "Singapore, Singapore",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://arxiv.org/abs/2305.15017",
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+ }
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+ ```