Wanyu Du

According to our database1, Wanyu Du authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation.
CoRR, 2023

2022
Self-augmented Data Selection for Few-shot Dialogue Generation.
CoRR, 2022

Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision.
CoRR, 2022

Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors.
CoRR, 2022

FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Understanding Iterative Revision from Human-Written Text.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
CoRR, 2021

Contextualizing Variation in Text Style Transfer Datasets.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
An Effective Optimization Algorithm for Application Mapping in Network-on-Chip Designs.
IEEE Trans. Ind. Electron., 2020

2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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