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Yaliang Li

Yaliang Li has 2 papers in our library, in 2019–2023, most of them on Language models & pretraining, Evaluation & benchmarks, Code & programming languages; often with Chenwei Zhang, Jingren Zhou, Nan Du.

2 papers in our library · 2019–2023

OpenAlex · ORCID · Wikidata · h-index 44 · 226 works · 8,404 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 192 times in our library · ⭐ Paper Stars ranking: #2610

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

🏢Alibaba GroupHangzhou · China2018–2026 · 88 paperscurrent🎓University at Buffalo, State University of New YorkBuffalo · United States2014–2017 · 20 papers🏢Alibaba GroupSan Mateo · United States2019–2025 · 16 papers🏢TencentShenzhen · China2018–2019 · 10 papers🏢BaiduBeijing · China2017–2018 · 5 papers🎓Sun Yat-sen UniversityGuangzhou · China2021–2025 · 3 papers🎓Singapore Management UniversitySingapore · Singapore2010–2012 · 3 papers🎓Renmin University of ChinaBeijing · China2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Networks and Communications · 1 work

🧭 Topics 4Research subjects and languages the work is about.Code & programming languages · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workSemantic parsing & meaning representation · 1 work

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

 Works by year

2020s

20231 paperText-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

2010s

20191 paperJoint Slot Filling and Intent Detection via Capsule Neural Networks

 Papers

The most cited first (OpenAlex and our library).

  1. Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation (2023 · 461 citations)
    Large language models have become a strong option for turning natural-language questions into SQL. However, no one had systematically compared the many prompting choices behind these systems. Gao et al. address this with a broad benchmark on Spider. They test how the database and question are written into the prompt…
  2. Joint Slot Filling and Intent Detection via Capsule Neural Networks (2019 · 315 citations)
    Voice assistants and similar NLU systems must make two linked decisions. They tag each word with a slot label, such as marking "Sungmin" as an artist. They also assign an intent to the whole utterance, such as AddToPlaylist. Earlier systems either ran these steps as a pipeline or used joint sequence-labeling models…

 Co-authors here

5 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 192 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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