2 citations · 4 across the 7 of their papers we have counts for
7 papers
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
Chenxu Yang, Zheng Lin, Lanrui Wang +6
Knowledge-grounded dialogue generation aims to mitigate the issue of text degeneration by incorporating external knowledge to supplement the context. However, the model often fails…
Attentive Multi-Layer Perceptron for Non-autoregressive Generation
Shuyang Jiang, Jun Zhang, Jiangtao Feng +2
Autoregressive~(AR) generation almost dominates sequence generation for its efficacy. Recently, non-autoregressive~(NAR) generation gains increasing popularity for its efficiency a…
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Qingyue Wang, Liang Ding, Yanan Cao +5
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to handle a variety of task-oriented dialogue domains without the cost of collecting in-domain data. Existing wo…
Combo of Thinking and Observing for Outside-Knowledge VQA
Qingyi Si, Yuchen Mo, Zheng Lin +2
Outside-knowledge visual question answering is a challenging task that requires both the acquisition and the use of open-ended real-world knowledge. Some existing solutions draw ex…
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation
Shuyu Miao, Lin Zheng, Jingjing Liu +1
The label-free model evaluation aims to predict the model performance on various test sets without relying on ground truths. The main challenge of this task is the absence of label…
Co-Salient Object Detection with Co-Representation Purification
Ziyue Zhu, Zhao Zhang, Zheng Lin +2
Co-salient object detection (Co-SOD) aims at discovering the common objects in a group of relevant images. Mining a co-representation is essential for locating co-salient objects.…