Weijia Zhang

I am Weijia Zhang, a final-year Ph.D. candidate at Information Retrieval Lab, University of Amsterdam. I am honored to be supervised by Prof. Evangelos Kanoulas. I obtained my M.Eng. and B.Eng. degrees from the School of Electronics and Infomation Technology at Sun Yat-sen University, Guangzhou, China. My curriculum vitae is available here.

Research Interests

My primary research focuses on natural language generation (NLG) and large language models (LLMs). I specialize in retrieval-augmented generation (RAG), hallucination evaluation, and query-focused summarization (QFS).

I am actively seeking industrial positions for 2025, with a preference for opportunities in San Francisco Bay Area and Seattle. Please feel free to reach out if you believe I could be a good fit!.

[Email] [Google Scholar] [LinkedIn]

News

  • Sep, 2024: One paper accepted at EMNLP 2024.
  • Aug, 2024: One paper accepted at ICPR 2024.
  • Jul, 2024: One paper accepted at ECAI 2024.
  • Jul, 2024: One paper accepted at INLG 2024 (Oral).
  • May, 2024: One paper accepted at LLM4EVAL@SIGIR 2024.
  • Aug, 2023: One paper accepted at GEN-IR@SIGIR 2023.

Publications

  1. FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
    Wenyan Li, Xinyu Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, et al.
    EMNLP 2024: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
    [pdf]

  2. QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs
    Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke
    ECAI 2024: Proceedings of the 27th European Conference on Artificial Intelligence
    [pdf]

  3. Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
    Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko, Yumo Xu, Thilina Rajapakse, Evangelos Kanoulas
    ICPR 2024: Proceedings of the 27th International Conference on Pattern Recognition
    [pdf]

  4. Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics
    Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-hong Huang, Evangelos Kanoulas
    INLG 2024 (Oral): Proceedings of the 17th International Natural Language Generation Conference
    [pdf]

  5. A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation
    Weijia Zhang, Mohammad Aliannejadi, Jiahuan Pei, Yifei Yuan, Jia-Hong Huang, Evangelos Kanoulas
    LLM4Eval@SIGIR 2024: The First Workshop on Large Language Model for Evaluation in Information Retrieval
    [pdf]

  6. Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study
    Weijia Zhang, Svitlana Vakulenko, Thilina Rajapakse, Yumo Xu, Evangelos Kanoulas
    Gen-IR@SIGIR 2023: The First Workshop on Generative Information Retrieval
    [pdf]

  7. A Deep Neural Information Fusion Architecture for Textual Network Embeddings
    Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang
    EMNLP-IJCNLP 2019: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing
    [pdf]

Contact

  • Email: weijia.zhangplus AT gmail.com