--- title: "Minzhi Li · Jiangsu University — author profile and papers" description: "Minzhi Li, Jiangsu University: 3 papers on Elamur Research (2023–2025), h-index 17 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/minzhi-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/minzhi-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Minzhi Li # Minzhi Li Minzhi Li has 3 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/), [Min-Yen Kan](https://md.research.elamur.ai/free/en/authors/min-yen-kan/), [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5022683477) · [ORCID](https://orcid.org/0000-0002-1013-8930) · [**h-index 17**](https://openalex.org/authors/A5022683477) · [111 works](https://openalex.org/works?filter=author.id:A5022683477) · [1,348 citations](https://openalex.org/works?filter=author.id:A5022683477&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/minzhi-li/#papers) · [🔗 Cited 151 times in our library](https://md.research.elamur.ai/free/en/authors/minzhi-li/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7439](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7439) 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=Minzhi+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Minzhi+Li) · [dblp](https://dblp.org/search?q=Minzhi+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Minzhi+Li) ## Affiliations [🎓**Jiangsu University** Zhenjiang · China 2006–2026 · 50 papers*current*](https://ror.org/03jc41j30) · [🎓**National University of Singapore** Singapore · Singapore 2022–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🔬**Institute for Infocomm Research** Singapore · Singapore 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-for-infocomm-research/) · [🎓**Guangdong Medical College** Zhanjiang · China 2026 · 1 paper*current*](https://ror.org/04k5rxe29) · [🎓**South China University of Technology** Guangzhou · China 2017–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🎓**Tsinghua University** Beijing · China 2010–2016 · 5 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Guangxi University of Chinese Medicine** Nanning · China 2007–2013 · 5 papers](https://ror.org/024v0gx67) · [🏥**Shenzhen KangNing Hospital** Shenzhen · China 2018–2019 · 3 papers](https://ror.org/02skpkw64) · [🎓**Georgia Institute of Technology** Atlanta · United States 2022–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🔬**State Key Laboratory of Subtropical Building Science** Guangzhou · China 2023–2024 · 2 papers](https://ror.org/020bzb737) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/minzhi-li/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/minzhi-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://md.research.elamur.ai/free/en/papers/li-2023-coannotating-uncertainty-guided-work-allocation/)** *(2023 · 101 citations)* Large language models such as ChatGPT can label text at zero-shot, cheaply and at scale. Earlier studies usually treated them as replacements for human annotators. This paper asks a different question: within one dataset, which items should go to the model and which to people? The proposed framework, CoAnnotating… 2. **[Distilling an End-to-End Voice Assistant Without Instruction Training Data](https://md.research.elamur.ai/free/en/papers/held-2025-distilling-end-end-voice-assistant/)** *(2025 · 18 citations)* End-to-end Speech LLMs are usually built with supervised finetuning on speech instruction data. That data is scarce, often recorded by few speakers, and the resulting models tend to lose abilities inherited from their text-only backbone. The authors propose the Distilled Voice Assistant (DiVA), which needs no… 3. **[DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation](https://md.research.elamur.ai/free/en/papers/li-2025-dna-eval-enhancing-large-language/)** *(2025 · 10 citations)* Using LLMs as judges of generated text is cheap and scalable, but how reliable they are remains unclear. Standard meta-evaluation asks a model once which of two responses is better and measures agreement with human labels. This hides the reasoning, so a model can match humans by luck. The authors propose DnA-Eval, a… ## All works 8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://md.research.elamur.ai/free/en/papers/li-2023-coannotating-uncertainty-guided-work-allocation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzhi Li, Taiwei Shi, Caleb Ziems, et al.*2023 · 101 citations* 2. **[Retrieving Multimodal Information for Augmented Generation: A Survey ↗](https://aclanthology.org/2023.findings-emnlp.314/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Ruochen Zhao et al.*2023 · 96 citations* 3. **[Inducing Positive Perspectives with Text Reframing ↗](https://aclanthology.org/2022.acl-long.257/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Caleb Ziems et al.*2022 · 68 citations* 4. **[Distilling an End-to-End Voice Assistant Without Instruction Training Data](https://md.research.elamur.ai/free/en/papers/held-2025-distilling-end-end-voice-assistant/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**William Held, Yanzhe Zhang, Minzhi Li, et al.*2025 · 18 citations* 5. **[DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation](https://md.research.elamur.ai/free/en/papers/li-2025-dna-eval-enhancing-large-language/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Minzhi Li, Zhengyuan Liu, Shumin Deng, et al.*2025 · 10 citations* 6. **[Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future ↗](https://aclanthology.org/2024.findings-acl.163/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Minzhi Li et al.*2024 · 7 citations* 7. **[Towards Social AI: A Survey on Understanding Social Interactions ↗](https://arxiv.org/abs/2409.15316) arXiv (Cornell University) · no summary yet**Sangmin Lee et al.*2024 · 5 citations* 8. **[Mind the Gap: Static and Interactive Evaluations of Large Audio Models ↗](https://aclanthology.org/2025.acl-long.428/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Minzhi Li et al.*2025 · 4 citations* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/) ×2 - [Min-Yen Kan](https://md.research.elamur.ai/free/en/authors/min-yen-kan/) ×2 - [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/) ×2 - [Zhengyuan Liu](https://md.research.elamur.ai/free/en/authors/zhengyuan-liu/) ×2 - [Caleb Ziems](https://md.research.elamur.ai/free/en/authors/caleb-ziems/) - [Michael J Ryan](https://md.research.elamur.ai/free/en/authors/michael-j-ryan/) - [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/) - [Shumin Deng](https://md.research.elamur.ai/free/en/authors/shumin-deng/) - [Taiwei Shi](https://md.research.elamur.ai/free/en/authors/taiwei-shi/) - [Weiyan Shi](https://md.research.elamur.ai/free/en/authors/weiyan-shi/) - [William Held](https://md.research.elamur.ai/free/en/authors/william-held/) - [Yanzhe Zhang](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/) - Findings of the Association for Computational Linguistics: ACL 2024 - Findings of the Association for Computational Linguistics: EMNLP 2023 ## Cited by Papers of our library cite their works 151 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/minzhi-li/cited-by/). Updated 30 October 2026