🧑‍🔬 Yunbo Cao

🏛️ Affiliations

🔬PLA Academy of Military ScienceBeijing · China2025–2026 · 10 paperscurrent🔬Academy of Military Medical SciencesBeijing · China2026 · 1 papercurrent🏢TencentShenzhen · China2017–2024 · 68 papers🏢Microsoft Research AsiaBeijing · China2002–2014 · 25 papers🎓Shanghai Jiao Tong UniversityShanghai · China2008–2014 · 9 papers🏢MicrosoftRedmond · United States2008–2012 · 3 papers🎓Peking UniversityBeijing · China2023 · 2 papers🎓Beihang UniversityBeijing · China2021–2022 · 2 papers🔬State Key Laboratory of Software Development EnvironmentBeijing · China2021–2022 · 2 papers🏛️Agency for Science, Technology and ResearchSingapore · Singapore2011–2013 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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

📄 Papers

The most cited first (OpenAlex and our library).

1. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction (2022 · 59 citations)
   Most Chinese Grammatical Error Correction (CGEC) research faces two problems: there is little high-quality annotated training data, and standard test sets such as NLPCC and CGED contain errors from L2 learners.
2. When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval (2026)
   Lexical retrieval with BM25 remains surprisingly strong for Chinese legal case retrieval. On LeCaRD-v2, it beats both general and legal-domain dense embedders. The authors therefore improve BM25 instead of replacing it. Their approach rewrites queries with an LLM that follows explicit, human-readable rewriting rules.

All works

8 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. Large Language Models are not Fair Evaluators ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPeiyi Wang et al.2024 · 563 citations
2. Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetHeng-Da Xu et al.2021 · 121 citations
3. Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems ↗Findings of the Association for Computational Linguistics: ACL 2022 · no summary yetZhongli Li et al.2022 · 80 citations
4. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error CorrectionFindings of the Association for Computational LinguisticsShirong Ma, Yinghui Li, Rongyi Sun, et al.2022 · 59 citations
5. Hierarchical Curriculum Learning for AMR Parsing ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetPeiyi Wang et al.2022 · 18 citations
6. When Rules Learn: A Self-Evolving Agent for Legal Case RetrievalFindings of the Association for Computational LinguisticsMingxu Tao, Jiawei Hu, Xian Zhou, et al.2026
7. SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYingjie Xue et al.2026
8. DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetBo Zhang et al.2026

🤝 Co-authors here

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

• Guotong Geng
• Haitao Zheng
• Mingxu Tao
• Qingyu Zhou
• Shirong Ma
• Shulin Huang
• Wenpeng Hu
• Ying Shen
• Yinghui Li
• Zhunchen Luo

Venues

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

• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ×4
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2022
• Findings of the Association for Computational Linguistics: ACL 2022
• Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

🔗 Cited by

Papers of our library cite their works 549 times (of the 149,439 papers whose bibliographies we read); 116 citing papers with a page here →.

Updated 31 October 2026

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