11 citations · 14 across the 6 of their papers we have counts for
6 papers
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
Junpeng Liu, Yanyan Zou, Hainan Zhang +4
Unlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other. In…
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
Duo Zheng, Zipeng Xu, Fandong Meng +3
Considering the importance of building a good Visual Dialog (VD) Questioner, many researchers study the topic under a Q-Bot-A-Bot image-guessing game setting, where the Questioner…
Multi-stage Pre-training over Simplified Multimodal Pre-training Models
Tongtong Liu, Fangxiang Feng, Xiaojie Wang
Multimodal pre-training models, such as LXMERT, have achieved excellent results in downstream tasks. However, current pre-trained models require large amounts of training data and…
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue
Zipeng Xu, Fandong Meng, Xiaojie Wang +3
To encourage AI agents to conduct meaningful Visual Dialogue (VD), the use of Reinforcement Learning has been proven potential. In Reinforcement Learning, it is crucial to represen…
Finding More Relevance: Propagating Similarity on Markov Random Field for Image Retrieval
Peng Lu, Xujun Peng, Xinshan Zhu +1
To effectively retrieve objects from large corpus with high accuracy is a challenge task. In this paper, we propose a method that propagates visual feature level similarities on a…
Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice
Fangxiang Feng, Ruifan Li, Xiaojie Wang
This paper describes our solution to the multi-modal learning challenge of ICML. This solution comprises constructing three-level representations in three consecutive stages and ch…