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Jiayu Li

Jiayu Li has 2 papers in our library, in 2026, most of them on Evaluation & benchmarks, Legal AI; often with Mengnan Du, Wei Cheng.

2 papers in our library · 2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10708

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

🏢Huawei TechnologiesShenzhen · China2026 · 1 papercurrent🎓University of ChicagoChicago · United States2026 · 1 papercurrent🎓University of North Carolina at Chapel HillChapel Hill · United States2026 · 1 papercurrent🎓University of WashingtonSeattle · United States2026 · 1 papercurrent🎓University of Washington TacomaTacoma · United States2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workDevelopmental and Educational Psychology · 1 workHuman-Computer Interaction · 1 workPsychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Legal AI · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LLM Agents in Law: Taxonomy, Applications, and Challenges (2026 · 4 citations)
    This survey examines why general-purpose LLMs are not dependable enough for legal work and how agent-based systems try to close that gap. The authors sort the weaknesses of standalone models into three groups:
  2. Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards (2026)
    Automatic sign-language recognition (SLR), translation (SLT) and production (SLP) are limited less by modelling and more by data.

 Co-authors here

2 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 4 times (of the 149,439 papers whose bibliographies we read).

Updated

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