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# AlignScoreCS
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A MultiTask multilingual model is developed to assess factual consistency in context-claim pairs across various Natural Language Understanding (NLU) tasks,
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including **Summarization**, **Question Answering (QA)**, **Semantic Textual Similarity (STS)**, **Paraphrase**, **Fact Verification (FV)**, and **Natural Language Inference (NLI)**.
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AlignScoreCS is fine-tuned on a vast multi-task dataset consisting of 7 million documents, encompassing these NLU tasks in both **Czech** and **English** languages.
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Its multilingual pre-training enables its potential utilization in **various other languages**. The architecture is capable of processing tasks using regression,
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# AlignScoreCS
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A MultiTask multilingual model is developed to **assess factual consistency in context-claim pairs** across various Natural Language Understanding (NLU) tasks,
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including **Summarization**, **Question Answering (QA)**, **Semantic Textual Similarity (STS)**, **Paraphrase**, **Fact Verification (FV)**, and **Natural Language Inference (NLI)**.
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AlignScoreCS is fine-tuned on a vast multi-task dataset consisting of 7 million documents, encompassing these NLU tasks in both **Czech** and **English** languages.
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Its multilingual pre-training enables its potential utilization in **various other languages**. The architecture is capable of processing tasks using regression,
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