Wanrong Zhu

Wanrong Zhu

CS Ph.D. Candidate

University of California, Santa Barbara


Hi, I am a Ph.D. candidate in the Natural Language Processing Group at UCSB, advised by William Wang. Before joining UCSB, I received my B.S. degree in Computer Science from Peking University.


  wanrongzhu [at] cs.ucsb.edu
   Henley Hall, UCSB


Education

  • University of California, Santa Barbara

    Ph.D. in Computer Science

    Sep. 2019 - Present

  • Peking University

    B.S. in Computer Science

    Sep. 2015 - July 2019

Interests

  • Natural Language Processing
  • Language-and-Vision
  • Text Generation

Experience

  • Mosaic Team, AI2

    Research Intern. Hosts: Jack Hessel and Youngjae Yu

    June 2022 - Sep. 2022

  • Google Research

    Research Intern. Hosts: Bo Pang and Ashish Thapliyal

    June 2021 - Oct. 2021

  • AdsAI Team, Google

    Research Intern. Host: Pradyumna Narayana

    June 2020 - Oct. 2020

  • Language Technology Institution, Carnegie Mellon University

    Research Assistant. Advisor: Zhiting Hu

    July 2018 - Sep. 2018

Publications & Preprints

Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning

Preprint (arXiv 2301.11916)
Xinyi Wang, Wanrong Zhu, William Yang Wang
Paper
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation

The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023, Findings)
Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
Paper Code
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation

CLIP also Understands Text: Prompting CLIP for Phrase Understanding

Preprint (arXiv 2210.05836)
An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian McAuley
Paper
CLIP also Understands Text: Prompting CLIP for Phrase Understanding

Neuro-Symbolic Causal Language Planning with Commonsense Prompting

The 11th International Conference on Learning Representations (ICLR 2023, Spotlight)
Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
Paper
Neuro-Symbolic Causal Language Planning with Commonsense Prompting

End-to-end Dense Video Captioning as Sequence Generation

The 29th International Conference on Computational Linguistics (COLING 2022)
Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut
Paper Video Poster
End-to-end Dense Video Captioning as Sequence Generation

Imagination-Augmented Natural Language Understanding

The 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022, Oral)
Yujie Lu, Wanrong Zhu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
Paper Code
Imagination-Augmented Natural Language Understanding

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023, Findings)
Wanrong Zhu, Xin Eric Wang, An Yan, Miguel Eckstein, William Yang Wang
Paper
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

Diagnosing Vision-and-Language Navigation: What Really Matters

The 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022, Oral)
Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel Eckstein, William Yang Wang
Paper Code Video Slides
Diagnosing Vision-and-Language Navigation: What Really Matters

Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation

The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)
Wanrong Zhu, Xin Eric Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
Paper Code Video & Slides Poster
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Short)
Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
Paper Video & Slides
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

The 57th Annual Meeting of the Association for Computational Linguistics:System Demonstrations (ACL 2019 System Demonstration)
Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing
Paper Code Docs
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

Text Infilling

Preprint (arXiv 1901.00158)
Wanrong Zhu, Zhiting Hu, Eric P. Xing
Paper Code
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