王卓尔 Zhuoer Wang

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Ph.D. | Seattle, WA

Email: wang at tamu.edu

Howdy!

I’m an applied scientist at AWS Connect. I obtained my Ph.D. degree in Computer Science from Texas A&M University, advised by Prof. James Caverlee. Before that, I received my Bachelor’s degree in Computer Science and Engineering from The Ohio State University. I have worked at Office of Applied Research @ Microsoft, AGI Foundational Models @ Amazon, Alexa Shopping Research @ Amazon, etc. on various projects.

My research interests are Natural Language Understanding and Generation, Faithfulness and Factual Correctness of the Generation, Unsupervised/Self-supervised Learning, and AI Applications.

News

Oct 28, 2024 :amz: I joined AWS Connect as an applied scientist working on task-oriented dialogue systems.
Sep 20, 2024 :miami: One paper accepted to EMNLP 2024.
Feb 21, 2024 :ms: I will join the Office of Applied Research @ Microsoft as a Research Intern working on Copilot optimization this summer. I’m super excited to have the opportunity of backing to Seattle during its prime season!
Oct 7, 2023 :merlion: Two papers accepted to EMNLP 2023, see you in Singapore! Credits and many thanks to Cav and other collaborators.
Jul 10, 2023 :acl: I’m happy to share that our paper on Faithful Low-Resource Data-to-Text Generation through Cycle Training recieved the Outstanding Paper Award @ ACL2023.

Selected Publications

  1. Preprint
    WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
    Taiwei ShiZhuoer WangLongqi Yang, Ying-Chun Lin, Zexue HeMengting WanPei Zhou, Sujay Jauhar, Xiaofeng Xu, Xia Song, and Jennifer Neville
    2024
  2. EMNLP
    Findings
    FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
    Zhuoer WangLeonardo F. R. RibeiroAlexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, and Angeliki Metallinou
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Nov 2024
  3. EMNLP
    Findings
    Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model
    In Findings of the Association for Computational Linguistics: EMNLP 2023, Dec 2023
  4. ACL
    Outstanding Paper Award
    Faithful Low-Resource Data-to-Text Generation through Cycle Training
    Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, and Oleg Rokhlenko
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023
  5. EMNLP
    PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
    Yun HeZhuoer Wang, Yin Zhang, Ruihong Huang, and James Caverlee
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020
Full Publication List

Services

Program Committee - Reviewer: ACL 2023/2024(ARR) | COLM 2024 | EMNLP 2020/2021/2022/2023/2024(ARR) | NAACL 2021 | COLING 2020/2022 | AAAI 2023/2024/2025

External Reviewer: SIGIR 2023 | ACL 2021 | IEEE Intelligent Systems