Add link to paper and code
Browse filesThis PR adds a link to the paper on Hugging Face and link to the Github repository.
README.md
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language:
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- vi
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library_name: transformers
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tags:
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- SemViQA
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- question-answering
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- fact-checking
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- information-retrieval
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pipeline_tag: question-answering
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license: mit
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---
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## Model Description
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- **Developed by:** [SemViQA Research Team](https://huggingface.co/SemViQA)
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- **Fine-tuned model:** [InfoXLM](https://huggingface.co/microsoft/infoxlm-large)
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*Built by Dien X. Tran*
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[](https://www.linkedin.com/in/xndien2004/)
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For more details, visit the project repository.
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[](https://github.com/DAVID-NGUYEN-S16/SemViQA)
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language:
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- vi
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library_name: transformers
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license: mit
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pipeline_tag: question-answering
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tags:
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- SemViQA
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- question-answering
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- fact-checking
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- information-retrieval
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---
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## Model Description
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- **Developed by:** [SemViQA Research Team](https://huggingface.co/SemViQA)
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- **Fine-tuned model:** [InfoXLM](https://huggingface.co/microsoft/infoxlm-large)
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*Built by Dien X. Tran*
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[](https://www.linkedin.com/in/xndien2004/)
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For more details, visit the project repository.
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[](https://github.com/DAVID-NGUYEN-S16/SemViQA)
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## Paper
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The SemViQA model is described in the paper: [SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking](https://huggingface.co/papers/2503.00955)
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