1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
Jiaxi Cui, Wentao Zhang, Jing Tang +6
The pervasive deployment of Large Language Models-LLMs in various sectors often neglects the nuanced requirements of individuals and small organizations, who benefit more from mode…
cs.CL2024★ 1 cited
Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning
Rongsheng Wang, Haoming Chen, Ruizhe Zhou +8
Existing research has demonstrated that refining large language models (LLMs) through the utilization of machine-generated instruction-following data empowers these models to exhib…