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README.md
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@@ -5,7 +5,7 @@ We are dedicated to advancing research in Data-Centric Machine Learning (DCML),
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Our goal is to develop effective and efficient data preparation systems and algorithms that support and enhance the performance of machine learning models.
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## Newly Released Papers and Code
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🔥 2024/08/14 Llama3-PBM-Nova-70B Model is released! [🤗 Huggingface](https://huggingface.co/PKU-Baichuan-MLSystemLab/Llama3-PBM-Nova-70B)
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🔥 2024/08/07 PAS: Data-Efficient Plug-and-Play Prompt Augmentation System [🌴 Repo](https://github.com/PKU-Baichuan-MLSystemLab/PAS) [🌲 arXiv](https://arxiv.org/abs/2407.06027)
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🔥 2024/08/02 CFBench: A Comprehensive Constraints-Following Benchmark for LLMs [🌴 Repo](https://github.com/PKU-Baichuan-MLSystemLab/CFBench) [🌲 arXiv](https://arxiv.org/abs/2408.01122)
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Our goal is to develop effective and efficient data preparation systems and algorithms that support and enhance the performance of machine learning models.
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## Newly Released Papers and Code
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🔥 2024/08/20 SysBench: Can Large Language Models Follow System Messages? [🌴 Repo](https://github.com/PKU-Baichuan-MLSystemLab/SysBench) [🌲 arXiv](https://arxiv.org/abs/2408.10943)
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🔥 2024/08/14 Llama3-PBM-Nova-70B Model is released! [🤗 Huggingface](https://huggingface.co/PKU-Baichuan-MLSystemLab/Llama3-PBM-Nova-70B)
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🔥 2024/08/07 PAS: Data-Efficient Plug-and-Play Prompt Augmentation System [🌴 Repo](https://github.com/PKU-Baichuan-MLSystemLab/PAS) [🌲 arXiv](https://arxiv.org/abs/2407.06027)
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🔥 2024/08/02 CFBench: A Comprehensive Constraints-Following Benchmark for LLMs [🌴 Repo](https://github.com/PKU-Baichuan-MLSystemLab/CFBench) [🌲 arXiv](https://arxiv.org/abs/2408.01122)
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