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Wenqi Fan

Wenqi Fan has 4 papers in our library, in 2020–2026, most of them on Language models & pretraining, Dialogue systems, Evaluation & benchmarks; often with Dawei Yin, Haochen Liu, Heqing Huang.

4 papers in our library · 2020–2026

OpenAlex · ORCID · Wikidata · h-index 29 · 103 works · 5,763 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 75 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5588

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Hong Kong Polytechnic UniversityHong Kong · China2020–2026 · 86 papersEmployment since 2023 · Assistant Professor, ComputingEmployment since 2023 · Assistant Professor, Management and Marketingcurrent🎓City University of Hong KongHong Kong · China2018–2020 · 7 papersEducation until 2020🎓Sun Yat-sen UniversityGuangzhou · China2015–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 3 worksSafety Research · 1 workSocial Sciences · 1 workInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 6Research subjects and languages the work is about.Bias, fairness & safety · 1 workDialogue systems · 1 workInformation retrieval & search · 1 workKnowledge graphs & ontologies · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Chatbots · 1 work

 Works by year

2020s

20262 papers20251 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Does Gender Matter? Towards Fairness in Dialogue Systems (2020 · 133 citations)
    Dialogue systems learn from real human conversations, so they can pick up social prejudices. Their fairness had received little systematic study. The authors examine whether popular dialogue models treat genders (male vs. female) and races differently, with race represented as standard English vs. African American…
  2. Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation (2025 · 77 citations)
    LLM-based recommenders often hallucinate, for example by suggesting films that do not exist. They also lack recent and domain-specific knowledge, and retraining them often is expensive. Standard document-based RAG can help, but it brings in noisy text and ignores how entities relate to each other. The authors propose…
  3. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation (2026 · 1 citation)
    LLM-based graph learning studies use inconsistent datasets, preprocessing and splits, so it remains unclear how pure LLMs compare with dedicated graph models.
  4. When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents (2026)
    The paper investigates a threat that has received little study: attackers can make LLM-driven WebAgents waste compute without breaking the task.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Does Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING)Haochen Liu, Jamell Dacon, Wenqi Fan, et al.2020 · 133 citations
  2. Knowledge Graph Retrieval-Augmented Generation for LLM-based RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Shijie Wang, Wenqi Fan, Yue Feng, et al.2025 · 77 citations
  3. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationFindings of the Association for Computational LinguisticsYuxiang Wang, Xinnan Dai, Wenqi Fan, et al.2026 · 1 citation
  4. When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.2026
  5. Datamart-Agent: LLM-Driven Game-Theoretic Agent for Data Marketplace Modeling ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetPangjing Wu et al.2026

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 75 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

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