I am a Software Engineer at Google, working on improving Ads ranking and personalization. I completed my Ph.D. at the Information Retrieval Lab, University of Amsterdam, under the supervision of Prof. Evangelos Kanoulas.
My research sits at the intersection of information retrieval and natural language generation, with a particular focus on factuality in unstructured text generation and reasoning over structured data such as tables.
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Selected Publications (view all )
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
Yifei Yuan, Jiatong Li, Weijia Zhang, Mohammad Aliannejadi, Evangelos Kanoulas, Renjun Hu
Findings of EMNLP 2025 2025 Findings
InsightTab distills tabular data into actionable insights via rule summarization, strategic exemplification, and reflection, consistently improving LLM few-shot tabular classification across nine datasets.
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
Yifei Yuan, Jiatong Li, Weijia Zhang, Mohammad Aliannejadi, Evangelos Kanoulas, Renjun Hu
Findings of EMNLP 2025 2025 Findings
InsightTab distills tabular data into actionable insights via rule summarization, strategic exemplification, and reflection, consistently improving LLM few-shot tabular classification across nine datasets.
Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization
Weijia Zhang, Songgaojun Deng, Evangelos Kanoulas
arXiv preprint 2025
Replaces ambiguous natural-language plans with TaSoF, a structured plan executed as a dependency graph of SQL steps, making multi-table query-focused summarization more reliable and scalable.
Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization
Weijia Zhang, Songgaojun Deng, Evangelos Kanoulas
arXiv preprint 2025
Replaces ambiguous natural-language plans with TaSoF, a structured plan executed as a dependency graph of SQL steps, making multi-table query-focused summarization more reliable and scalable.
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
International Conference on Pattern Recognition (ICPR) 2024
Reframes query-focused summarization as a knowledge-intensive task: a retrieval module pulls candidate documents from a large corpus, removing the usual assumption that relevant documents are given in advance.
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
International Conference on Pattern Recognition (ICPR) 2024
Reframes query-focused summarization as a knowledge-intensive task: a retrieval module pulls candidate documents from a large corpus, removing the usual assumption that relevant documents are given in advance.
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs
Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke
European Conference on Artificial Intelligence (ECAI) 2024
Introduces query-focused multi-table summarization, along with a dataset of 4,909 query-summary pairs and a table serialization plus summarization-controller pipeline that tailors summaries to a user's query.
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs
Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke
European Conference on Artificial Intelligence (ECAI) 2024
Introduces query-focused multi-table summarization, along with a dataset of 4,909 query-summary pairs and a table serialization plus summarization-controller pipeline that tailors summaries to a user's query.
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
International Natural Language Generation Conference (INLG) 2024 Oral
A comparative evaluation framework showing how well faithfulness metrics separate full, partial, and no citation support, moving citation evaluation past binary classification.
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
International Natural Language Generation Conference (INLG) 2024 Oral
A comparative evaluation framework showing how well faithfulness metrics separate full, partial, and no citation support, moving citation evaluation past binary classification.