3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Understanding Errors in LLM-Based Question Answering over Imperfect Tables
Baowen Zhang, Wei Fan, Ruman Wang +1
Answering questions over imperfect tables requires handling errors that can affect the answer. We investigate two challenges for large language models (LLMs): whether error discove…
cs.LG2026
Deep Tabular Representation Corrector
Hangting Ye, Peng Wang, Wei Fan +4
Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. The recent success of deep learning has fostered…
cs.LG2024★ 3 cited
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye, Wei Fan, Xiaozhuang Song +4
Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. With the recent success of deep learning, many t…