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@@ -136,4 +136,21 @@ Fine-tuning was performed using LoRA adapters on the pre-trained `google/flan-t5
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  - **Save strategy:** per epoch
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  - **DDP parameters:**
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  - `ddp_find_unused_parameters=False`
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- - `ddp_backend="nccl"`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - **Save strategy:** per epoch
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  - **DDP parameters:**
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  - `ddp_find_unused_parameters=False`
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+ - `ddp_backend="nccl"`
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+
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+
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+ # Citation
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+
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+ If you use this models for scientific purposes, **please cite the following paper**:
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+
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+ ```
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+ @misc{vossel2025advancingnaturallanguageformalization,
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+ title={Advancing Natural Language Formalization to First Order Logic with Fine-tuned LLMs},
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+ author={Felix Vossel and Till Mossakowski and Björn Gehrke},
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+ year={2025},
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+ eprint={2509.22338},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2509.22338},
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+ }
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+ ```