11 citations · 15 across the 3 of their papers we have counts for
3 papers
Improving Table Retrieval with Question Generation from Partial Tables
Hsing-Ping Liang, Che-Wei Chang, Yao-Chung Fan
Recent advances in open-domain question answering over tables have widely adopted large language models (LLMs) under the Retriever-Reader architecture. Prior works have effectively…
CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
Shang-Hsuan Chiang, Ssu-Cheng Wang, Yao-Chung Fan
Manually designing cloze test consumes enormous time and efforts. The major challenge lies in wrong option (distractor) selection. Having carefully-design distractors improves the…
Improving Controllability of Educational Question Generation by Keyword Provision
Ying-Hong Chan, Ho-Lam Chung, Yao-Chung Fan
Question Generation (QG) receives increasing research attention in NLP community. One motivation for QG is that QG significantly facilitates the preparation of educational reading…