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Leilei Gan

Leilei Gan has 3 papers in our library, in 2025–2026, most of them on Reasoning, Vision & language; often with Yandi Wang, Ziwei Huang, Fei Qing Wu.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 10 · 50 works · 344 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 70 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #10005

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

🎓Zhejiang UniversityHangzhou · China2020–2026 · 44 papersEmploymentcurrent

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksComputer Vision and Pattern Recognition · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Vision & language · 1 workReasoning · 2 works

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts (2025 · 8 citations)
    Most text-to-image (T2I) evaluation measures prompt alignment, image quality or object composition. It rarely checks whether models depict specific real-world entities correctly, such as a particular handbag model, landmark or dog breed. To fill this gap, the authors built T2I-FactualBench, which they describe as the…
  2. REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation (2026 · 1 citation)
    Checking whether a text-to-image (T2I) output matches its prompt is usually done with single-number similarity scores or template-driven QA pipelines.
  3. From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document Understanding (2026)
    The paper addresses Visual Information Extraction (VIE) from receipts and invoices. Existing benchmarks are small, synthetic, or limited to narrow domains, and they mostly test literal text extraction. The authors introduce ReceiptBench, a human-annotated collection of 10,656 real-world financial documents, including…

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Judgment Prediction via Injecting Legal Knowledge into Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLeilei Gan et al.2021 · 86 citations
  2. Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetLeilei Gan et al.2023 · 22 citations
  3. Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering ↗arXiv:2501.06521 · no summary yetYinghao Hu et al.2025 · 18 citations
  4. T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive ConceptsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwei Huang, Wanggui He, Quanyu Long, et al.2025 · 8 citations
  5. Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetYinghao Hu et al.2025 · 8 citations
  6. Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetChengyuan Liu et al.2022 · 2 citations
  7. REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)FuLin Shi, Wenyi Xiao, Leilei Gan, et al.2026 · 1 citation
  8. From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yandi Wang, Libin Zhan, Ziwei Huang, et al.2026
  9. VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWenyi Xiao, Xinchi XU, Leilei Gan2026

 Co-authors here

6 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 70 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

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