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  This Memory Decoder model is trained on the Finance domain and can be adapted to enhance any model in the Qwen2 and Qwen2.5 families.
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  **Paper:** [Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models](https://www.arxiv.org/abs/2508.09874)
 
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  **GitHub:** [https://github.com/LUMIA-Group/MemoryDecoder](https://github.com/LUMIA-Group/MemoryDecoder/tree/main)
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- ## Training Data
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  **Finance Domain Dataset:** [yahoo_finance_stockmarket_news](https://huggingface.co/datasets/jyanimaulik/yahoo_finance_stockmarket_news)
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- ## Evaluation Data
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-
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  **Test Split:** [MemoryDecoder-domain-data](https://huggingface.co/datasets/Clover-Hill/MemoryDecoder-domain-data)
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  ## Performance Results
 
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  This Memory Decoder model is trained on the Finance domain and can be adapted to enhance any model in the Qwen2 and Qwen2.5 families.
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  **Paper:** [Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models](https://www.arxiv.org/abs/2508.09874)
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  **GitHub:** [https://github.com/LUMIA-Group/MemoryDecoder](https://github.com/LUMIA-Group/MemoryDecoder/tree/main)
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+ ## Training & Evaluation Data
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  **Finance Domain Dataset:** [yahoo_finance_stockmarket_news](https://huggingface.co/datasets/jyanimaulik/yahoo_finance_stockmarket_news)
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  **Test Split:** [MemoryDecoder-domain-data](https://huggingface.co/datasets/Clover-Hill/MemoryDecoder-domain-data)
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  ## Performance Results