---
title: "Yunbo Cao — author profile and papers — Elamur Research"
description: "Yunbo Cao, Academy of Military Medical Sciences: 2 papers on Elamur Research (2022–2026), h-index 31 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/yunbo-cao/"
---
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# Yunbo Cao

Yunbo Cao has 2 papers in our library, in 2022–2026, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Grammatical error correction & learner language](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/); often with [Guotong Geng](https://md.research.elamur.ai/free/en/authors/guotong-geng/), [Haitao Zheng](https://md.research.elamur.ai/free/en/authors/haitao-zheng/), [Mingxu Tao](https://md.research.elamur.ai/free/en/authors/mingxu-tao/).

2 papers in our library · 2022–2026

[OpenAlex](https://openalex.org/A5011542448) · [ORCID](https://orcid.org/0009-0005-2558-5206) · [**h-index 31**](https://openalex.org/authors/A5011542448) · [139 works](https://openalex.org/works?filter=author.id:A5011542448) · [3,442 citations](https://openalex.org/works?filter=author.id:A5011542448&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yunbo-cao/#papers) · [🔗 Cited 549 times in our library](https://md.research.elamur.ai/free/en/authors/yunbo-cao/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7578](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7578)

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=Yunbo+Cao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yunbo+Cao) · [dblp](https://dblp.org/search?q=Yunbo+Cao) · [ACL Anthology](https://aclanthology.org/search/?q=Yunbo+Cao)

## Affiliations

[🔬**PLA Academy of Military Science** Beijing · China 2025–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/labs/pla-academy-of-military-science/) · [🔬**Academy of Military Medical Sciences** Beijing · China 2026 · 1 paper*current*](https://ror.org/02bv3c993) · [🏢**Tencent** Shenzhen · China 2017–2024 · 68 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🏢**Microsoft Research Asia** Beijing · China 2002–2014 · 25 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2008–2014 · 9 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏢**Microsoft** Redmond · United States 2008–2012 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Peking University** Beijing · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Beihang University** Beijing · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🔬**State Key Laboratory of Software Development Environment** Beijing · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-software-development-environment/) · [🏛️**Agency for Science, Technology and Research** Singapore · Singapore 2011–2013 · 2 papers](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/)

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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 3 Research subjects and languages the work is about.[Grammatical error correction & learner language · 1 work](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yunbo-cao/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yunbo-cao/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ma-2022-linguistic-rules-based-corpus-generation/)** *(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](https://md.research.elamur.ai/free/en/papers/tao-2026-when-rules-learn-self-evolving/)** *(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 ↗](https://aclanthology.org/2024.acl-long.511/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Peiyi Wang et al.*2024 · 563 citations*
2. **[Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking ↗](https://aclanthology.org/2021.findings-acl.64/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Heng-Da Xu et al.*2021 · 121 citations*
3. **[Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems ↗](https://aclanthology.org/2022.findings-acl.195/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Zhongli Li et al.*2022 · 80 citations*
4. **[Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ma-2022-linguistic-rules-based-corpus-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shirong Ma, Yinghui Li, Rongyi Sun, et al.*2022 · 59 citations*
5. **[Hierarchical Curriculum Learning for AMR Parsing ↗](https://aclanthology.org/2022.acl-short.37/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Peiyi Wang et al.*2022 · 18 citations*
6. **[When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval](https://md.research.elamur.ai/free/en/papers/tao-2026-when-rules-learn-self-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingxu Tao, Jiawei Hu, Xian Zhou, et al.*2026*
7. **[SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking ↗](https://aclanthology.org/2026.acl-long.2100/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yingjie Xue et al.*2026*
8. **[DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs ↗](https://aclanthology.org/2026.acl-long.660/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Bo Zhang et al.*2026*

## Co-authors here

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

- [Guotong Geng](https://md.research.elamur.ai/free/en/authors/guotong-geng/)
- [Haitao Zheng](https://md.research.elamur.ai/free/en/authors/haitao-zheng/)
- [Mingxu Tao](https://md.research.elamur.ai/free/en/authors/mingxu-tao/)
- [Qingyu Zhou](https://md.research.elamur.ai/free/en/authors/qingyu-zhou/)
- [Shirong Ma](https://md.research.elamur.ai/free/en/authors/shirong-ma/)
- [Shulin Huang](https://md.research.elamur.ai/free/en/authors/shulin-huang/)
- [Wenpeng Hu](https://md.research.elamur.ai/free/en/authors/wenpeng-hu/)
- [Ying Shen](https://md.research.elamur.ai/free/en/authors/ying-shen/)
- [Yinghui Li](https://md.research.elamur.ai/free/en/authors/yinghui-li/)
- [Zhunchen Luo](https://md.research.elamur.ai/free/en/authors/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](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/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 →](https://md.research.elamur.ai/free/en/authors/yunbo-cao/cited-by/).

Updated 31 October 2026
