Internalizing Tool Knowledge in Small Language Models via QLoRA Fine-Tuning 事件

Internalizing Tool Knowledge in Small Language Models via QLoRA Fine-Tuning arXiv:2605.17774v2 Announce Type: replace Abstract: Large language models are increasingly used as planning components in agentic systems, but current tool-use pipelines often require full tool schemas to be included in every prompt, creating substantial token overhead and limiting the practicality of smaller models. This paper investigates whether tool-use knowledge can be internalized into small language models throug