activity
20192022
most citedAttention Optimization for Abstractive Document Summarization

16 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022

WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types

Xuwu Wang, Junfeng Tian, Min Gui +5

Multimodal Entity Linking (MEL) which aims at linking mentions with multimodal contexts to the referent entities from a knowledge base (e.g., Wikipedia), is an essential task for m…

cs.CV20227 cited

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

Jiabo Ye, Junfeng Tian, Ming Yan +5

Visual grounding focuses on establishing fine-grained alignment between vision and natural language, which has essential applications in multimodal reasoning systems. Existing meth…

cs.MM20216 cited

Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training

Ming Yan, Haiyang Xu, Chenliang Li +4

Existing approaches to vision-language pre-training (VLP) heavily rely on an object detector based on bounding boxes (regions), where salient objects are first detected from images…

cs.CL20206 cited

Multi-Domain Dialogue Acts and Response Co-Generation

Kai Wang, Junfeng Tian, Rui Wang +2

Generating fluent and informative responses is of critical importance for task-oriented dialogue systems. Existing pipeline approaches generally predict multiple dialogue acts firs…

cs.CL201916 cited

Attention Optimization for Abstractive Document Summarization

Min Gui, Junfeng Tian, Rui Wang +1

Attention plays a key role in the improvement of sequence-to-sequence-based document summarization models. To obtain a powerful attention helping with reproducing the most salient…