5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.CV2026
MaS-VQA: A Mask-and-Select Framework for Knowledge-Based Visual Question Answering
Xianwei Mao, Kai Ye, Sheng Zhou +4
Knowledge-based Visual Question Answering (KB-VQA) requires models to answer questions by integrating visual information with external knowledge. However, retrieved knowledge is of…
cs.AI2026
REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment
Kai Ye, Xianwei Mao, Sheng Zhou +6
Knowledge-intensive Visual Question Answering (KI-VQA) frequently suffers from severe knowledge conflicts caused by the inherent limitations of open-domain retrieval. However, exis…
cs.CL2019★ 5 cited
Gated Group Self-Attention for Answer Selection
Dong Xu, Jianhui Ji, Haikuan Huang +2
Answer selection (answer ranking) is one of the key steps in many kinds of question answering (QA) applications, where deep models have achieved state-of-the-art performance. Among…