🧑‍🔬 Linlin Li

🏛️ Affiliations

🎓University of Science and Technology BeijingBeijing · China2015–2026 · 97 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2012–2026 · 2 paperscurrent🎓Bozhou UniversityBozhou · China2026 · 1 papercurrent🎓Henan University of Science and TechnologyLuoyang · China2026 · 1 papercurrent🔬Institute of SemiconductorsBeijing · China2026 · 1 papercurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🎓University of Duisburg-EssenEssen · Germany2014–2024 · 30 papers🎓Jilin UniversityChangchun · China2018–2025 · 12 papers🎓Saarland UniversitySaarbrücken · Germany2009–2012 · 6 papers🎓Heilongjiang UniversityHarbin · China2023–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 59 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.

📅 Works by year

2020s

2000s

📄 Papers

The most cited first (OpenAlex and our library).

1. TinyBERT: Distilling BERT for Natural Language Understanding (2020 · 2,378 citations)
   Large pre-trained language models such as BERT achieve very high performance. However, they have many parameters and slow inference, which makes them difficult to run on phones and other low-resource devices. The authors compress BERT with a knowledge distillation method designed specifically for the Transformer…
2. Unsupervised Recognition of Literal and Non-Literal Use of Idiomatic Expressions (2009 · 173 citations)
   The paper tackles token-level idiom classification: deciding whether a potentially idiomatic expression such as spill the beans or play with fire is meant literally or figuratively in a specific context.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. TinyBERT: Distilling BERT for Natural Language UnderstandingFindings of the Association for Computational LinguisticsXiaoqi Jiao, Yichun Yin, Lifeng Shang, et al.2020 · 2,378 citations
2. Unsupervised Recognition of Literal and Non-Literal Use of Idiomatic ExpressionsConference of the European Chapter of the Association for Computational Linguistics (EACL)Caroline Sporleder, Linlin Li2009 · 173 citations
3. A Neural Multi-digraph Model for Chinese NER with Gazetteers ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetRuixue Ding et al.2019 · 144 citations

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Caroline Sporleder
• Lifeng Shang
• Qun Liu
• Xiao Chen
• Xiaoqi Jiao
• Xin Jiang
• Yichun Yin

Venues

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

• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2009
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2020
• Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

🔗 Cited by

Papers of our library cite their works 736 times (of the 149,439 papers whose bibliographies we read); 84 citing papers with a page here →.

Updated 1 November 2026

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