Localize, Retrieve and Fuse: A Generalized Framework for Free-Form
Question Answering over Tables

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables

20 September 2023

Philip S. Yu

Papers citing "Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables"

4 / 4 papers shown

Title
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios Xiaokang Zhang Jing Zhang Zeyao Ma Yang Li Bohan Zhang ... D. Li Shu Zhao Juan-Zi Li Jie Tang J. Tang LMTD RALM 44 20 0 28 Mar 2024
GNN is a Counter? Revisiting GNN for Question Answering Kuan-Chieh Jackson Wang Yuyu Zhang Diyi Yang Le Song Tao Qin LMTD 29 30 0 07 Oct 2021
MATE: Multi-view Attention for Table Transformer Efficiency Julian Martin Eisenschlos Maharshi Gor Thomas Müller William W. Cohen LMTD 72 95 0 09 Sep 2021
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints Zhenyi Wang Xiaoyang Wang Bang An Dong Yu Changyou Chen LMTD 168 84 0 03 May 2020