Qinzhuo Wu
Qinzhuo Wu has 2 papers in our library, in 2021–2026, most of them on Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Jiacheng Ye, Jian Luan, Qi Zhang.
OpenAlex · ORCID · h-index 8 · 13 works · 288 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 93 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7155
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workHuman-Computer Interaction · 1 workInformation Systems · 1 workSoftware · 1 work
🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing (2021 · 147 citations)
NLP models with high accuracy often break when their inputs are slightly altered. Earlier robustness tools usually test either generic perturbations or task-specific ones, which makes a complete assessment hard. TextFlint addresses this with one open-source framework for English and Chinese. It combines four kinds of… - MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment (2026)
Existing benchmarks for mobile GUI agents mostly check whether an agent can carry out simple or step-by-step instructions.
All works
- TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Wang, Qin Liu, Tao Gui, et al.2021 · 147 citations
- A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetQinzhuo Wu et al.2020 · 93 citations
- MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World EnvironmentFindings of the Association for Computational LinguisticsQinzhuo Wu, Zhizhuo Yang, Hanhao Li, et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2021
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Cited by
Updated
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