--- title: "Yaliang Li · Alibaba Group — author profile and papers" description: "Yaliang Li, Alibaba Group: 2 papers on Elamur Research (2019–2023), h-index 44 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/yaliang-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yaliang-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yaliang Li # Yaliang Li Yaliang Li has 2 papers in our library, in 2019–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Chenwei Zhang](https://md.research.elamur.ai/free/en/authors/chenwei-zhang/), [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/), [Nan Du](https://md.research.elamur.ai/free/en/authors/nan-du/). 2 papers in our library · 2019–2023 [OpenAlex](https://openalex.org/A5046576694) · [ORCID](https://orcid.org/0000-0002-4204-6096) · [Wikidata](https://www.wikidata.org/wiki/Q130817160) · [**h-index 44**](https://openalex.org/authors/A5046576694) · [226 works](https://openalex.org/works?filter=author.id:A5046576694) · [8,404 citations](https://openalex.org/works?filter=author.id:A5046576694&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yaliang-li/#papers) · [🔗 Cited 192 times in our library](https://md.research.elamur.ai/free/en/authors/yaliang-li/cited-by/) · [⭐ Paper Stars ranking: #2607](https://md.research.elamur.ai/free/en/paper-stars/page/27/#star-2607) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yaliang+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yaliang+Li) · [dblp](https://dblp.org/search?q=Yaliang+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yaliang+Li) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2018–2026 · 88 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**University at Buffalo, State University of New York** Buffalo · United States 2014–2017 · 20 papers](https://md.research.elamur.ai/free/en/universities/university-at-buffalo-state-university-of-new-york/) · [🏢**Alibaba Group** San Mateo · United States 2019–2025 · 16 papers](https://ror.org/00rn0m335) · [🏢**Tencent** Shenzhen · China 2018–2019 · 10 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🏢**Baidu** Beijing · China 2017–2018 · 5 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**Sun Yat-sen University** Guangzhou · China 2021–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Singapore Management University** Singapore · Singapore 2010–2012 · 3 papers](https://md.research.elamur.ai/free/en/universities/singapore-management-university/) · [🎓**Renmin University of China** Beijing · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 4 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Semantic parsing · 1 work](https://md.research.elamur.ai/free/en/concepts/semantic-parsing/) ## Works by year ### 2020s [**2023** 1 paper Yaliang Li's papers of 2023](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/) ### 2010s [**2019** 1 paper Yaliang Li's papers of 2019](https://md.research.elamur.ai/free/en/papers/zhang-2019-joint-slot-filling-intent-detection/) ## Papers The most cited first (OpenAlex and our library). 1. **[Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/)** *(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](https://md.research.elamur.ai/free/en/papers/zhang-2019-joint-slot-filling-intent-detection/)** *(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. - [Chenwei Zhang](https://md.research.elamur.ai/free/en/authors/chenwei-zhang/) - [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/) - [Nan Du](https://md.research.elamur.ai/free/en/authors/nan-du/) - [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/) - [Wei Fan](https://md.research.elamur.ai/free/en/authors/wei-fan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) ## 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 →](https://md.research.elamur.ai/free/en/authors/yaliang-li/cited-by/). Updated 24 October 2026