王卓尔 Zhuoer Wang

Ph.D. Candidate - wang at tamu.edu - Peterson Building 342

Quebec City, Canada 2023

Howdy!

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

I received my Bachelor’s degree in Computer Science and Engineering from The Ohio State University. I have worked at the Reliability and Risk Laboratory @ OSU, the NLP Group @ TAMU, the SSC Research Group @ TAMU, and the Alexa Shopping Research @ Amazon 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. I’m looking for full-time and internship opportunities that start in 2024.

News

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.
Feb 10, 2023 :amazon_icon: I will take an Applied Scientist intern with the Alexa AI - NLU group at Amazon’s Sunnyvale office this autumn.

Selected Publications

  1. ACL
    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
  2. ALEXA
    Howdy Y’all: An Alexa TaskBot
    Texas A&M University
    In Alexa Prize TaskBot Challenge Proceedings 2022
  3. AAAI
    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. Shipman, Xia Hu, and James Caverlee
    In AAAI 2022
  4. EMNLP
    PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
    Yun He, Zhuoer 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 | EMNLP 2020~2023 | NAACL 2021 | COLING 2020/2022 | AAAI 2023/2024

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