activity
20192022
most citedBridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog

22 citations · 55 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2022

Relational Surrogate Loss Learning

Tao Huang, Zekang Li, Hua Lu +6

Evaluation metrics in machine learning are often hardly taken as loss functions, as they could be non-differentiable and non-decomposable, e.g., average precision and F1 score. Thi…

cs.CL2022★ 1 cited

Mental Health Assessment for the Chatbots

Yong Shan, Jinchao Zhang, Zekang Li +2

Previous researches on dialogue system assessment usually focus on the quality evaluation (e.g. fluency, relevance, etc) of responses generated by the chatbots, which are local and…

cs.CL2021★ 5 cited

Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Zekang Li, Jinchao Zhang, Zhengcong Fei +2

Nowadays, open-domain dialogue models can generate acceptable responses according to the historical context based on the large-scale pre-trained language models. However, they gene…

cs.CL2021

WeChat AI & ICT's Submission for DSTC9 Interactive Dialogue Evaluation Track

Zekang Li, Zongjia Li, Jinchao Zhang +2

We participate in the DSTC9 Interactive Dialogue Evaluation Track (Gunasekara et al. 2020) sub-task 1 (Knowledge Grounded Dialogue) and sub-task 2 (Interactive Dialogue). In sub-ta…

cs.CL2020★ 9 cited

A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking

Yong Shan, Zekang Li, Jinchao Zhang +4

Recent studies in dialogue state tracking (DST) leverage historical information to determine states which are generally represented as slot-value pairs. However, most of them have…

cs.CL2020

Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization

Zeyang Lei, Zekang Li, Jinchao Zhang +5

Recently, variational auto-encoder (VAE) based approaches have made impressive progress on improving the diversity of generated responses. However, these methods usually suffer the…

cs.CL2020★ 22 cited

Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog

Zekang Li, Zongjia Li, Jinchao Zhang +3

Audio-Visual Scene-Aware Dialog (AVSD) is a task to generate responses when chatting about a given video, which is organized as a track of the 8th Dialog System Technology Challeng…

cs.CL2019★ 18 cited

Incremental Transformer with Deliberation Decoder for Document Grounded Conversations

Zekang Li, Cheng Niu, Fandong Meng +3

Document Grounded Conversations is a task to generate dialogue responses when chatting about the content of a given document. Obviously, document knowledge plays a critical role in…