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@@ -56,4 +56,21 @@ with torch.no_grad():
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  logits = model(**inputs).logits
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  prediction = torch.argmax(logits, dim=-1)
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- print("Correct" if prediction.item() == 1 else "Incorrect")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  logits = model(**inputs).logits
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  prediction = torch.argmax(logits, dim=-1)
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+ print("Correct" if prediction.item() == 1 else "Incorrect")
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+ ```
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+
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+ ## Citation
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+
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+ If you find this model useful for you research, please consider citing:
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+
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+ ```
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+ @article{gisserotboukhlef2026bertasajudgerobustalternativelexical,
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+ title={BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation},
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+ author={Gisserot-Boukhlef, Hippolyte and Boizard, Nicolas and Malherbe, Emmanuel and Hudelot, C{\'e}line and Colombo, Pierre},
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+ year={2026},
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+ eprint={2604.09497},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2604.09497}
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+ }
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+ ```