22 citations · 31 across the 21 of their papers we have counts for
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cs.MM2021
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering
Fangzhi Xu, Qika Lin, Jun Liu +4
Textbook Question Answering (TQA) is a complex multimodal task to infer answers given large context descriptions and abundant diagrams. Compared with Visual Question Answering (VQA…
cs.LO2021★ 7 cited
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning
Yudai Pan, Jun Liu, Lingling Zhang +3
Relation reasoning in knowledge graphs (KGs) aims at predicting missing relations in incomplete triples, whereas the dominant paradigm is learning the embeddings of relations and e…
cs.CV2021
RL-CSDia: Representation Learning of Computer Science Diagrams
Shaowei Wang, LingLing Zhang, Xuan Luo +3
Recent studies on computer vision mainly focus on natural images that express real-world scenes. They achieve outstanding performance on diverse tasks such as visual question answe…