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  This is a fact-checking model from our work:
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- 📃 [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**](https://arxiv.org/pdf/2404.10774.pdf) ([GitHub Repo](https://github.com/Liyan06/MiniCheck))
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  The model is based on Flan-T5-Large that predicts a binary label - 1 for supported and 0 for unsupported.
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  The model is doing predictions on the *sentence-level*. It takes as input a document and a sentence and determine
 
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  This is a fact-checking model from our work:
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+ 📃 [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**](https://arxiv.org/pdf/2404.10774.pdf),(EMNLP 2024, [GitHub Repo](https://github.com/Liyan06/MiniCheck))
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  The model is based on Flan-T5-Large that predicts a binary label - 1 for supported and 0 for unsupported.
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  The model is doing predictions on the *sentence-level*. It takes as input a document and a sentence and determine