共 6 条
- [1] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models Proceedings of Machine Learning Research, 2024, 235 : 62867 - 62891
- [2] Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023, 2023, : 726 - 727
- [4] Accelerating Sparse Autoencoder Training via Layer-Wise Transfer Learning in Large Language Models BlackboxNLP 2024 - 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the Workshop, 2024, : 530 - 550
- [6] Prediction of water saturation in tight sandstone reservoirs from well log data based on the large language models (LLMs) Natural Gas Industry, 44 (09): : 77 - 87