Yizhong Wang

PhD student
Paul G. Allen School of Computer Science & Engineering
University of Washington, Seattle, WA

Email: yizhongw [at] cs.washington.edu

Short Bio

I am a fourth-year PhD student at the University of Washington, where I am very fortunate to be co-advised by Hannaneh Hajishirzi and Noah Smith. Prior to UW, I completed my Master's degree at Peking University and Bachelor's degree at Shanghai Jiao Tong University.

My research aims to push forward artificial intelligence through the language perspective. In particular, I am interested in how to make machines understand human language, acquire knowledge from the textual world, and conduct systematic reasoning in various complex scenarios. Recently, I am working on building LMs that can follow instructions to generalize across various tasks.

My name is written as 王义中 in Chinese characters.

  • May 2, 2023
  • We have three papers accepted by ACL 2023. Looking forward to meeting people at Toronto!
  • Dec. 20, 2022
  • We arxived Self-Instruct, a new way to align language models with little human annotation. [Tweets]
  • Apr. 16, 2022
  • We released Natural Instructions V2 that covers 1600+ NLP tasks together with their instructions!
  • Aug. 12, 2021
  • I will be interning at FAIR London starting from September.
  • Jan. 13, 2021
  • Our MultiModalQA paper collaborated with AI2 Israel was accepted to ICLR 2021!

    Publications [Google Scholar]

    TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

    Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A Smith

    Self-Instruct: Aligning Language Model with Self-Generated Instructions

    Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A Smith, Daniel Khashabi, Hannaneh Hajishirzi

    ACL 2023
    HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation

    Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew Peters

    ACL 2023
    One Embedder, Any Task: Instruction-Finetuned Text Embeddings

    Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A Smith, Luke Zettlemoyer, Tao Yu

    ACL 2023 Findings
    Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

    Yizhong Wang*, Swaroop Mishra*, Pegah Alipoormolabashi, Yeganeh Kordi et al.

    EMNLP 2022
    Probing Across Time: What Does RoBERTa Know and When?

    Leo Z. Liu*, Yizhong Wang*, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith

    EMNLP 2021 Findings
    MultiModalQA: Complex Question Answering over Text, Tables and Images

    Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant

    Ninth International Conference on Learning Representations (ICLR 2021)
    Automated Lay Language Summarization of Biomedical Scientific Reviews

    Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen

    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021)
    LiveQA: A Question Answering Dataset over Sports Live (Best Paper Award)

    Qianying Liu, Sicong Jiang, Yizhong Wang, Sujian Li

    19th Chinese National Conference on Computational Linguistics (CCL 2020)
    Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

    Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith and Yejin Choi

    2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
    Do Neural NLP Models Know Numbers? Probing Numeracy in Embeddings

    Eric Wallace*, Yizhong Wang*, Sujian Li, Sameer Singh and Matt Gardner

    2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
    DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

    Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh and Matt Gardner

    2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)
    Toward Fast and Accurate Neural Discourse Segmentation

    Yizhong Wang, Sujian Li and Jingfeng Yang

    2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
    Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

    Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li and Haifeng Wang.

    The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)
    Bag-of-Words as Target for Neural Machine Translation

    Shuming Ma, Xu Sun, Yizhong Wang and Junyang Lin

    The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)
    DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

    Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang

    ACL Workshop on Machine Reading for Question Answering, 2018
    Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification

    Yizhong Wang and Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang

    The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)
    A Two-Stage Parsing Method for Text-level Discourse Analysis (Outstanding Paper Award)

    Yizhong Wang, Sujian Li and Houfeng Wang

    The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)
    Towards Non-projective High-Order Dependency Parser

    Wenjing Fang, Kenny Q. Zhu, Yizhong Wang and Jia Tan

    The 26th International Conference on Computational Linguistics (COLING 2016)

    * indicates equal contribution.