Abstract Models for Planning

A Confidence-based Knowledge Integration Framework for Cross-Domain Table Question Answering

KBS 2024

We propose a confidence-based knowledge integration framework that uses a two-stage deep-learning-based ranking technique to mitigate the low-confidence problem commonly associated with Seq2seq models for TableQA.

December 2024 · Yuankai Fan, Tonghui Ren, Can Huang, Beini Zheng, Yinan Jing, Zhenying He, Jinbao Li, Jianxin Li*