| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 85 | 2021 |
| An effective optimization algorithm for application mapping in network-on-chip designs X Wang, TM Choi, X Yue, M Zhang, W Du IEEE Transactions on Industrial Electronics 67 (7), 5798-5809, 2019 | 17 | 2019 |
| Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision W Du, ZM Kim, V Raheja, D Kumar, D Kang The First Workshop on Intelligent and Interactive Writing Assistants @ ACL 2022, 2022 | 16 | 2022 |
| An empirical comparison on imitation learning and reinforcement learning for paraphrase generation W Du, Y Ji EMNLP 2019, 2019 | 16 | 2019 |
| Understanding Iterative Revision from Human-Written Text W Du, V Raheja, D Kumar, ZM Kim, M Lopez, D Kang ACL 2022, 2022 | 15 | 2022 |
| Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors W Du, J Zhao, L Wang, Y Ji The 6th Workshop on Structured Prediction for NLP @ ACL 2022, 2022 | 5 | 2022 |
| SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks W Du, Y Ji Findings of EMNLP 2021, 2021 | 2 | 2021 |
| Explaining Predictive Uncertainty by Looking Back at Model Explanations H Chen, W Du, Y Ji arXiv preprint arXiv:2201.03742, 2023 | 1* | 2023 |
| FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows J Zhao, Y Li, W Du, Y Ji, D Yu, MR Lyu, L Wang EMNLP 2022, 2022 | 1 | 2022 |
| Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks ZM Kim, W Du, V Raheja, D Kumar, D Kang EMNLP 2022, 2022 | | 2022 |
| Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation W Du, H Chen, Y Ji Findings of EMNLP 2022, 2022 | | 2022 |
| Contextualizing Variation in Text Style Transfer Datasets S Schoch, W Du, Y Ji INLG 2021, 2021 | | 2021 |
Yangfeng JiComputer Science, University of VirginiaVerified email at virginia.edu
