Zenglin Xu
Zenglin Xu has 3 papers in our library, in 2021–2026, most of them on Part-of-speech tagging, Language models & pretraining, Evaluation & benchmarks; often with Deqing Zou, Hai-Tao Zheng, Irwin King.
OpenAlex · ORCID · Wikidata · h-index 53 · 371 works · 11,241 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 32 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #10903
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 workApplied Mathematics · 1 workMathematics · 1 work
🧭 Topics 5Research subjects and languages the work is about.English · 1 workLanguage models & pretraining · 1 workEvaluation & benchmarks · 1 workPart-of-speech tagging · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Position: LLMs Can be Good Tutors in English Education (2025 · 9 citations)
This is a position paper. It runs no experiments and introduces no dataset. The authors argue that current LLM uses in English teaching mostly reuse standard NLP task framings and ignore educational methodology. They contend that LLMs can work as tutors that support human teachers rather than replace them. They… - SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech Tagging (2021 · 3 citations)
Sindhi is a morphologically rich language but has very few resources. Until now it has had no open and sufficiently large annotated corpus for part-of-speech (POS) tagging: earlier datasets are either too small or not publicly available. The authors created SiPOS, a gold-standard dataset built from Sindhi news texts… - CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning (2026)
Training LLMs for math reasoning depends on high-quality Chain-of-Thought (CoT) data, which is expensive to annotate.
All works
- Large-Scale Multi-View Subspace Clustering in Linear Time ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhao Kang et al.2020 · 539 citations
- FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetZhuo Zhang et al.2023 · 108 citations
- Non-monotonic feature selection ↗International Conference on Machine Learning · no summary yetZenglin Xu et al.2009 · 65 citations
- FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhuo Zhang et al.2023 · 33 citations
- Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
- SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech TaggingRecent Advances in Natural Language Processing (RANLP)Wazir Ali, Zenglin Xu, Jay Kumar2021 · 3 citations
- CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
Co-authors here
- Deqing Zou
- Hai-Tao Zheng
- Irwin King
- Jingheng Ye
- Kun Wang
- Lizhen Qu
- Philip S. Yu
- Qingsong Wen
- Ruitong Liu
- Shen Wang
- Yafu Li
- Yibo Yan
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Recent Advances in Natural Language Processing (RANLP): RANLP 2021
- Findings of the Association for Computational Linguistics: ACL 2023
- International Conference on Machine Learning
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Proceedings of the AAAI Conference on Artificial Intelligence
Cited by
Updated
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