AI RESEARCH
PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables
arXiv CS.AI
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ArXi:2412.04272v5 Announce Type: replace-cross In recent years, table reasoning has garnered substantial research interest, particularly regarding its integration with Large Language Models (LLMs), which have revolutionized natural language applications. Existing LLM-based studies typically achieve step-by-step thinking for table reasoning guided by task semantics. While these approaches emphasize autonomous exploration and enhance fine-grained table understanding, they often overlook systematic thinking in the reasoning process.