Zimu Wang

Ph.D. student at Xi'an Jiaotong-Liverpool University/University of Liverpool.

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Xi'an Jiaotong-Liverpool University

111 Ren'ai Road, SIP

Suzhou, Jiangsu, China

Zimu Wang (王子木) is a second-year Ph.D. student at the University of Liverpool (UoL), base at Xi’an Jiaotong-Liverpool University (XJTLU), jointly advised by Dr. Wei Wang (XJTLU), Dr. Qiufeng Wang (XJTLU), Dr. Qi Chen (XJTLU), and Dr. Anh Nguyen (UoL). He is also a visiting student at the Monash Medical AI (MMAI) Group, Monash University, supervised by Dr. Zongyuan Ge. Previously, he was a visiting student/research intern at the Knowledge Engineering Group (KEG), Tsinghua University from 2022 to 2023, supervised by Prof. Juanzi Li, and the University of Texas of Dallas from 2023 to 2024, supervised by Dr. Xinya Du.

His broad research interest is the intersection between Knowledge Graphs, Data and Knowledege Engineering, and Natural Language Processing (NLP). To be specific, his current research topics include Information Extraction, Natural Language Reasoning, Large (Vision-)Language Models, and Computational Social Science. You can refer to his Google Scholar for his research details.

Zimu Wang is open to collaborations. If you’re interested in working with him, please feel free to send him an email.

News

Dec 10, 2024 One paper accepted by AAAI 2025: Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation.
Nov 30, 2024 One paper accepted by COLING 2025: Detecting Conversational Mental Manipulation with Intent-Aware Prompting.
Oct 15, 2024 One paper accepted by PACLIC 2024: Domain-specific Guided Summarization for Mental Health Posts.
Sep 26, 2024 One paper accepted by NeurIPS 2024: MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations.
Sep 20, 2024 One paper accepted by EMNLP 2024 (Findings): Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.

Selected Publications

  1. AAAI 2025
    Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation
    Xiaoqiang Kang*Zimu Wang*, Xiaobo Jin , Wei Wang, and 2 more authors
    The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Feb 2025
  2. COLING 2025
    Detecting Conversational Mental Manipulation with Intent-Aware Prompting
    Jiayuan Ma*Hongbin Na*Zimu Wang, Yining Hua, and 3 more authors
    The 31st International Conference on Computational Linguistics (COLING 2025), Jan 2025
  3. NeurIPS 2024
    MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations
    Ruosen Li , Zimu Wang, Son Quoc Tran, Lei Xia, and 1 more author
    The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Dec 2024
  4. PACLIC 2024
    Domain-specific Guided Summarization for Mental Health Posts
    Lu Qian , Yuqi Wang , Zimu Wang, Haiyang Zhang, and 3 more authors
    The 38th Pacific Asia Conference on Language, Information and Computation (PACLIC 2024), Dec 2024
  5. EMNLP 2024
    Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
    Zimu Wang, Lei Xia , Wei Wang, and Xinya Du
    Findings of the Association for Computational Linguistics: EMNLP 2024 (EMNLP 2024 Findings), Nov 2024
  6. EACL 2024
    FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model
    Zhilu Zhang, Procheta SenZimu Wang, Ruoyu Sun, and 2 more authors
    The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), Mar 2024
  7. EMNLP 2023
    OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding
    Hao Peng*Xiaozhi Wang*Feng YaoZimu Wang, and 4 more authors
    The 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2023 Demo), Dec 2023
  8. arXiv 2023
    When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
    Hao Peng*Xiaozhi Wang* , Jianhui Chen* , Weikai Li, and 7 more authors
    arXiv preprint arXiv:2311.08993, Nov 2023
  9. EMNLP 2022
    MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
    Xiaozhi Wang* , Yulin Chen*, Ning Ding, Hao Peng, and 8 more authors
    The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Dec 2022