13 citations · 19 across the 4 of their papers we have counts for
7 papers
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
Haibao Yu, Yizhen Luo, Mao Shu +8
Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities. It has been widely agreed that vehicle-i…
Pre-trained Language Model Based Active Learning for Sentence Matching
Guirong Bai, Shizhu He, Kang Liu +2
Active learning is able to significantly reduce the annotation cost for data-driven techniques. However, previous active learning approaches for natural language processing mainly…
Learning Hierarchical Review Graph Representations for Recommendation
Yong Liu, Susen Yang, Yinan Zhang +3
The user review data have been demonstrated to be effective in solving different recommendation problems. Previous review-based recommendation methods usually employ sophisticated…
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
Cao Liu, Kang Liu, Shizhu He +2
We tackle the task of question generation over knowledge bases. Conventional methods for this task neglect two crucial research issues: 1) the given predicate needs to be expressed…
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots
Cao Liu, Kang Liu, Shizhu He +2
Conventional chatbots focus on two-party response generation, which simplifies the real dialogue scene. In this paper, we strive toward a novel task of Response Generation on Multi…
Understanding Semantics from Speech Through Pre-training
Pengwei Wang, Liangchen Wei, Yong Cao +3
End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation. Although the acousti…