作者位次 #2/4ACL 2026Findings· Findings of ACL
SP a C e: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
Dai Do · Manh Nguyen · Svetha Venkatesh · Hung Le
摘要
Large language models (LLMs) have shown strong reasoning capabilities when fine-tuned with reinforcement learning (RL). However, such methods require extensive data and compute, making them impractical under many realistic training budgets. Many existing pipelines sample training examples uniform...