9 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…
Reward on Path: Learning Intermediate Supervision Signals for Knowledge Graph Question Answering
Shengxiang Gao, Chao Lei, Jey Han Lau +2
Knowledge Graph Question Answering (KGQA) aims to answer user questions by reasoning over Knowledge Graphs (KGs). Recent methods use supervision derived from answer labels or refin…
Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +3
Misinformation spreading over the Internet poses a significant threat to both societies and individuals, necessitating robust and scalable fact-checking that relies on retrieving a…
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…
Approximate Graph Propagation Revisited: Dynamic Parameterized Queries, Tighter Bounds and Dynamic Updates
Zhuowei Zhao, Zhuo Zhang, Hanzhi Wang +3
We revisit Approximate Graph Propagation (AGP), a unified framework which captures various graph propagation tasks, such as PageRank, feature propagation in Graph Neural Networks (…
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
Zuqing Li, Junhao Gan, Jianzhong Qi
Diffusion-based tabular data synthesis models have yielded promising results. However, when the data dimensionality increases, existing models tend to degenerate and may perform ev…
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…
Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters
Zhuowei Zhao, Junhao Gan, Boyu Ruan +3
We study structural clustering on graphs in dynamic scenarios, where the graphs can be updated by arbitrary insertions or deletions of edges/vertices. The goal is to efficiently co…
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…