一作ACL 2026Findings· Findings of ACL
P lan E : Meta Planning of Data, Tuning, and Inference for Extractive-based LLM s
Jiacheng Wang · Weiyan Zhang · Guangya Yu
摘要
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 specific tasks persists. To...