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README.md
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@@ -42,7 +42,7 @@ We also have other three MiniCheck model variants:
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The performance of these models is evaluated on our new collected benchmark (unseen by our models during training), [LLM-AggreFact](https://huggingface.co/datasets/lytang/LLM-AggreFact),
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from 11 recent human annotated datasets on fact-checking and grounding LLM generations. **Llama-3.1-Bespoke-MiniCheck-7B is the SOTA
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fact-checking model
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# Model Usage
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# License
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-
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For commercial licensing, please contact company@bespokelabs.ai.
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# Citation
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title={Bespoke-Minicheck-7B},
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author={Bespoke Labs},
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year={2024},
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url={huggingface.co/bespokelabs/Bespoke-MiniCheck-7B},
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}
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```
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The performance of these models is evaluated on our new collected benchmark (unseen by our models during training), [LLM-AggreFact](https://huggingface.co/datasets/lytang/LLM-AggreFact),
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from 11 recent human annotated datasets on fact-checking and grounding LLM generations. **Llama-3.1-Bespoke-MiniCheck-7B is the SOTA
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fact-checking model despite its small size.**
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# Model Usage
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# License
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This work is licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
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For commercial licensing, please contact company@bespokelabs.ai.
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# Citation
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title={Bespoke-Minicheck-7B},
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author={Bespoke Labs},
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year={2024},
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url={https://huggingface.co/bespokelabs/Bespoke-MiniCheck-7B},
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}
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```
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