作者位次 #7/11ACL 2026Findings· Findings of ACL
T able- R 1: Region-based Reinforcement Learning for Table Understanding
Zhenhe Wu · Jian Yang · Zhongjiang He · Changzai Pan · JIAHENG LIU · Xianjie Wu · Yu Zhao · Shuangyong Song · Yongxiang Li · Zhoujun Li · Xuelong Li
摘要
Tables present unique challenges for language models due to their structured row-column interactions, necessitating specialized approaches for effective comprehension. While large language models (LLMs) have demonstrated potential in table reasoning through prompting and techniques like chain-of-...