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Forecasting Question Answering over Temporal Knowledge Graphs


Aug 12, 2022
Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp


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3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers


Oct 17, 2021
Zai Shi, Zhao Meng, Yiran Xing, Yunpu Ma, Roger Wattenhofer

* BMVC 2021 

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BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification


Sep 15, 2021
Jens Hauser, Zhao Meng, Damián Pascual, Roger Wattenhofer

* 12 pages with appendix, 7 figures 

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Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models


Jul 15, 2021
Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer

* Work in progress 

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Towards Robust Graph Contrastive Learning


Feb 25, 2021
Nikola Jovanović, Zhao Meng, Lukas Faber, Roger Wattenhofer


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KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation


Jan 02, 2021
Yiran Xing, Zai Shi, Zhao Meng, Yunpu Ma, Roger Wattenhofer

* Work in progress. The first three authors contribute equally to this work 

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A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples


Oct 03, 2020
Zhao Meng, Roger Wattenhofer

* COLING 2020 Long Paper 

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Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection


Sep 28, 2018
Zhao Meng, Lili Mou, Zhi Jin

* In Proceedings of the ACM on Conference on Information and Knowledge Management (CIKM), 2017 

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Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models


Sep 28, 2018
Zhao Meng, Lili Mou, Zhi Jin

* In Proceedings of the Language Resources and Evaluation Conference (LREC), 2018 

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How Transferable are Neural Networks in NLP Applications?


Oct 13, 2016
Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin

* Accepted by EMNLP-16 

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