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cs.CL2024
Minimum Tuning to Unlock Long Output from LLMs with High Quality Data as the Key
Yingda Chen, Xingjun Wang, Jintao Huang +3
As large language models rapidly evolve to support longer context, there is a notable disparity in their capability to generate output at greater lengths. Recent study suggests tha…
cs.CL2024★ 5 cited
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
Yuze Zhao, Jintao Huang, Jinghan Hu +10
Recent development in Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) have leverage Attention-based Transformer architectures and achieved superior perfo…