AI RESEARCH

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering

arXiv CS.AI

ArXi:2604.08999v1 Announce Type: cross Table serialization remains a critical bottleneck for Large Language Models (LLMs) in complex table question answering, hindered by challenges such as structural neglect, representation gaps, and reasoning opacity. Existing serialization methods fail to capture explicit hierarchies and lack schema flexibility, while current tree-based approaches suffer from limited semantic adaptability. To address these limitations, we propose ASTRA (Adaptive Semantic Tree Reasoning Architecture) including two main modules, AdaSTR and DuTR. First, we.