作者位次 #5/10ACL 2026Findings· Findings of ACL
Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
Zichuan Fu · Xian Wu · Guojing Li · an Jiaotong University) · Yijun Chen · Zhao Zihao · Luo Yixuan · Hanyu Yan · Yefeng Zheng · an Jiaotong University)
摘要
Recent advancements in large language models (LLMs) have catalyzed the rise of reasoningintensive inference paradigms, where models perform explicit step-by-step reasoning before generating final answers. While such approaches improve answer quality and interpretability, they incur substantial co...