王卓尔 Zhuoer Wang

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Ph.D. Candidate

Email: wang at tamu.edu

Office: Peterson Building 342

Howdy!

I’m a Ph.D. student in the Department of Computer Science and Engineering at Texas A&M University, and I’m a member of the InfoLab advised by Prof. James Caverlee since 2020.

I received my Bachelor’s degree in Computer Science and Engineering from The Ohio State University. I have worked at AGI Foundational Models @ Amazon, Alexa Shopping Research @ Amazon, the SSC Research Group @ TAMU, the NLP Group @ TAMU, the Reliability and Risk Laboratory @ OSU 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. My recent research focuses on:

  1. Data-efficient self-supervised / unsupervised learning methods for better NLU and faithful NLG (ACL2023-OutstandingPaper, EMNLP2023-Findings)
  2. Compute-efficient decoding algorithms for training cost reduction, inference speed improvement, and faithfulness/factuality improvement of LLM’s generation (two papers in preparation)

News

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.
May 2, 2023 :toronto: One paper accepted to ACL 2023, see you in Toronto! Credits and many thanks to the wonderful Alexa Shopping Research team and Cav.

Selected Publications

  1. EMNLP
    Findings
    Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model
    Zhuoer Wang, Yicheng Wang, Ziwei Zhu, and James Caverlee
    In Findings of the Association for Computational Linguistics: EMNLP 2023, Dec 2023
  2. 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
  3. ALEXA PRIZE
    Howdy Y’all: An Alexa TaskBot
    Texas A&M University
    In Alexa Prize TaskBot Challenge Proceedings, Jul 2022
  4. AAAI
    Demo
    RES: An Interpretable Replicability Estimation System for Research Publications
    Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. ShipmanXia Hu, and James Caverlee
    In Proceedings of the AAAI Conference on Artificial Intelligence, Jun 2022
  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) | EMNLP 2020~2023 | NAACL 2021 | COLING 2020/2022 | AAAI 2023/2024

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