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cs.CL2024
Labeling supervised fine-tuning data with the scaling law
Huanjun Kong
This paper introduces a multi-stage manual annotation calibrated by the scaling law, offering a high-quality Supervised Fine-Tuning data acquisition method for environments with co…
cs.CL2024
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
Huanjun Kong, Songyang Zhang, Jiaying Li +3
In this work, we present HuixiangDou, a technical assistant powered by Large Language Models (LLM). This system is designed to assist algorithm developers by providing insightful r…