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  • 2024.1: We propose a new instruction tuning dataset (INTERS) for unlocking the power of LLMs on search tasks. See more details.
  • 2023.11: We analyze the risk of data leakage in LLM pre-training and write a new paper to alert this problem. See more details.
  • 2023.8: We write a new survey about applying large language models for information retrieval. See more details.
  • 2023.8: We publish a new version of YuLan-Chat. It achieves better performance than the official LLaMA-2 and LLaMA-2-Chat on MMLU, C-Eval, and AGI-Gaokao benchmarks! GitHub Repo stars

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