27 citations · 35 across the 6 of their papers we have counts for
6 papers
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
Zihan Wang, Kai Zhao, Yongquan He +4
Recent work on knowledge graph completion (KGC) focused on learning embeddings of entities and relations in knowledge graphs. These embedding methods require that all test entities…
Reconstructing Training Data from Model Gradient, Provably
Zihan Wang, Jason D. Lee, Qi Lei
Understanding when and how much a model gradient leaks information about the training sample is an important question in privacy. In this paper, we present a surprising result: eve…
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Zihan Wang, Na Huang, Fei Sun +5
Learned recommender systems may inadvertently leak information about their training data, leading to privacy violations. We investigate privacy threats faced by recommender systems…
Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking
Jinyu Guo, Kai Shuang, Jijie Li +2
In dialogue state tracking, dialogue history is a crucial material, and its utilization varies between different models. However, no matter how the dialogue history is used, each e…
Emora: An Inquisitive Social Chatbot Who Cares For You
Sarah E. Finch, James D. Finch, Ali Ahmadvand +9
Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such exp…
Learning to Order Sub-questions for Complex Question Answering
Yunan Zhang, Xiang Cheng, Yufeng Zhang +5
Answering complex questions involving multiple entities and relations is a challenging task. Logically, the answer to a complex question should be derived by decomposing the comple…