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    • LPA

      Public
      [EMNLP 2024, Main Confernece] Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
      Python
      0400Updated Nov 5, 2024Nov 5, 2024
    • [NeurIPS 2024 D&B Track, Spotlight] UltraMedical: Building Specialized Generalists in Biomedicine
      Python
      15900Updated Sep 26, 2024Sep 26, 2024
    • CRaSh

      Public
      The source code of the EMNLP 2023 main conference paper: "CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model."
      Python
      0410Updated Aug 26, 2024Aug 26, 2024
    • CoGenesis

      Public
      CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. ACL@2024 Main Conference
      Python
      0410Updated Aug 7, 2024Aug 7, 2024
    • Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
      Python
      02220Updated Aug 2, 2024Aug 2, 2024
    • [COLM 2024] Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
      Python
      01110Updated Jul 15, 2024Jul 15, 2024
    • FS-GEN

      Public
      Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.
      Python
      21010Updated Jun 19, 2024Jun 19, 2024
    • .github

      Public
      0000Updated Apr 27, 2024Apr 27, 2024
    • SoRA

      Public
      The source code of the EMNLP 2023 main conference paper: Sparse Low-rank Adaptation of Pre-trained Language Models.
      Python
      96980Updated Mar 5, 2024Mar 5, 2024