53 citations · 162 across the 20 of their papers we have counts for
20 papers
Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations
Yinyi Wei, Shuaipeng Liu, Hailei Yan +3
With the extensive accumulation of conversational data on the Internet, emotion recognition in conversations (ERC) has received increasing attention. Previous efforts of this task…
Exploiting Pseudo Image Captions for Multimodal Summarization
Chaoya Jiang, Rui Xie, Wei Ye +2
Cross-modal contrastive learning in vision language pretraining (VLP) faces the challenge of (partial) false negatives. In this paper, we study this problem from the perspective of…
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation
Yuncheng Hua, Xiangyu Xi, Zheng Jiang +4
End-to-end generation-based approaches have been investigated and applied in task-oriented dialogue systems. However, in industrial scenarios, existing methods face the bottlenecks…
Exploring Vision-Language Models for Imbalanced Learning
Yidong Wang, Zhuohao Yu, Jindong Wang +6
Vision-Language models (VLMs) that use contrastive language-image pre-training have shown promising zero-shot classification performance. However, their performance on imbalanced d…
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
Bo Li, Wei Ye, Jinglei Zhang +1
The typical way for relation extraction is fine-tuning large pre-trained language models on task-specific datasets, then selecting the label with the highest probability of the out…
Sequence Generation with Label Augmentation for Relation Extraction
Bo Li, Dingyao Yu, Wei Ye +2
Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates th…