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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

πŸ”₯ 2024/08/21 MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark 🌴 Repo 🌲 arXiv
πŸ”₯ 2024/08/20 SysBench: Can Large Language Models Follow System Messages? 🌴 Repo 🌲 arXiv
πŸ”₯ 2024/08/14 Llama3-PBM-Nova-70B Model is released! πŸ€— Huggingface
πŸ”₯ 2024/08/07 PAS: Data-Efficient Plug-and-Play Prompt Augmentation System 🌴 Repo 🌲 arXiv
πŸ”₯ 2024/08/02 CFBench: A Comprehensive Constraints-Following Benchmark for LLMs 🌴 Repo 🌲 arXiv