arXiv cs.AI
· Papers
PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs
arXiv:2607.20470v1 Announce Type: new Abstract: Enhancing the task-specific capabilities of Large Language Models (LLMs) primarily requires substantial instruction-tuning datasets. However, the sheer volume of such data imposes a considerable annotation cost, and a lack of optimization methods for tailoring LLMs to spe