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| # PKU-Baichuan-MLSystemLab | |
| Welcome to the GitHub repository of the Peking University ML System Lab - Baichuan Inc. Joint Laboratory. | |
| We are dedicated to advancing research in Data-Centric Machine Learning (DCML), Large Language Models (LLMs), and Machine Learning Systems (ML Systems). | |
| Our goal is to develop effective and efficient data preparation systems and algorithms that support and enhance the performance of machine learning models. | |
| ## Newly Released Papers and Code | |
| π₯ 2024/08/21 MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark [π΄ Repo](https://github.com/PKU-Baichuan-MLSystemLab/MathScape) [π² arXiv](https://arxiv.org/abs/2408.07543) | |
| π₯ 2024/08/20 SysBench: Can Large Language Models Follow System Messages? [π΄ Repo](https://github.com/PKU-Baichuan-MLSystemLab/SysBench) [π² arXiv](https://arxiv.org/abs/2408.10943) | |
| π₯ 2024/08/14 Llama3-PBM-Nova-70B Model is released! [π€ Huggingface](https://huggingface.co/PKU-Baichuan-MLSystemLab/Llama3-PBM-Nova-70B) | |
| π₯ 2024/08/07 PAS: Data-Efficient Plug-and-Play Prompt Augmentation System [π΄ Repo](https://github.com/PKU-Baichuan-MLSystemLab/PAS) [π² arXiv](https://arxiv.org/abs/2407.06027) | |
| π₯ 2024/08/02 CFBench: A Comprehensive Constraints-Following Benchmark for LLMs [π΄ Repo](https://github.com/PKU-Baichuan-MLSystemLab/CFBench) [π² arXiv](https://arxiv.org/abs/2408.01122) | |