5 papers
TabScope: Question-Adaptive Scope Selection for Table Question Answering
Yuxiang Wang, Junhao Gan, Jianzhong Qi
Large Language Models (LLMs) have shown strong performance on table question answering, yet their accuracy often degrades as table size increases. We find that this degradation is…
Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning Perspective
Shenghao Ye, Yuxiang Wang, Yu Guo +3
Large Reasoning Models (LRMs) achieve strong performance on table reasoning tasks but incur substantial inference cost due to long reasoning traces. Stepwise model routing mitigate…
Beyond Linearization: Attributed Table Graphs for Table Reasoning
Yuxiang Wang, Junhao Gan, Shengxiang Gao +3
Table reasoning, a task to answer questions by reasoning over data presented in tables, is an important topic due to the prevalence of knowledge stored in tabular formats. Recent s…
Towards Question Answering over Large Semi-structured Tables
Yuxiang Wang, Junhao Gan, Jianzhong Qi
Table Question Answering (TableQA) attracts strong interests due to the prevalence of web information presented in the form of semi-structured tables. Despite many efforts, TableQA…
Accurate and Regret-aware Numerical Problem Solver for Tabular Question Answering
Yuxiang Wang, Jianzhong Qi, Junhao Gan
Question answering on free-form tables (a.k.a. TableQA) is a challenging task because of the flexible structure and complex schema of tables. Recent studies use Large Language Mode…