--- title: "Mengzhao Jia — author profile and papers · Vision & language" description: "Mengzhao Jia, University of Notre Dame: 4 papers on Elamur Research (2023–2026), h-index 5 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/mengzhao-jia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mengzhao-jia/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mengzhao Jia # Mengzhao Jia Mengzhao Jia has 4 papers in our library, in 2023–2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/), [Zhihan Zhang](https://md.research.elamur.ai/free/en/authors/zhihan-zhang/), [Dong-Ho Lee](https://md.research.elamur.ai/free/en/authors/dong-ho-lee/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5011592556) · [ORCID](https://orcid.org/0009-0005-9759-4996) · [**h-index 5**](https://openalex.org/authors/A5011592556) · [33 works](https://openalex.org/works?filter=author.id:A5011592556) · [96 citations](https://openalex.org/works?filter=author.id:A5011592556&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/mengzhao-jia/#papers) · [🔗 Cited 53 times in our library](https://md.research.elamur.ai/free/en/authors/mengzhao-jia/cited-by/) · [⭐ Paper Stars ranking: #8377](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8377) 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=Mengzhao+Jia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mengzhao+Jia) · [dblp](https://dblp.org/search?q=Mengzhao+Jia) · [ACL Anthology](https://aclanthology.org/search/?q=Mengzhao+Jia) ## Affiliations [🎓**University of Notre Dame** Notre Dame · United States 2023–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-notre-dame/) · [🎓**Shandong University** Jinan · China 2021–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 3 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/mengzhao-jia/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/mengzhao-jia/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/mengzhao-jia/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/mengzhao-jia/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/zhang-2024-plug-leveraging-pivot-language-cross/)** *(2024 · 28 citations)* Large language models handle instructions far better in English than in languages that are underrepresented in their pre-training data. 2. **[Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/)** *(2023 · 26 citations)* The paper addresses Multimodal Sarcasm Explanation (MuSE), where a model writes a short natural-language sentence explaining why an image-plus-caption social media post is sarcastic. 3. **[Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench](https://md.research.elamur.ai/free/en/papers/liu-2025-protecting-privacy-multimodal-large-language/)** *(2025 · 24 citations)* Large generative models trained on web-scale data can memorize personal details and later reveal them. Machine unlearning has been studied for text-only LLMs, but multimodal models (MLLMs) are harder: knowledge about a person is spread across images and text, so removing it from one modality may leave it recoverable… 4. **[MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring](https://md.research.elamur.ai/free/en/papers/yang-2026-mmtutorbench-first-multimodal-benchmark-ai/)** *(2026)* MMTutorBench addresses a gap in multimodal evaluation. Existing math benchmarks test whether models can read handwriting or solve problems. They do not test whether a model can act as a tutor: working out where a student is stuck, naming the relevant idea, and suggesting only the next step. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/) ×3 - [Zhihan Zhang](https://md.research.elamur.ai/free/en/authors/zhihan-zhang/) ×2 - [Dong-Ho Lee](https://md.research.elamur.ai/free/en/authors/dong-ho-lee/) - [Francesco Barbieri](https://md.research.elamur.ai/free/en/authors/francesco-barbieri/) - [Guangyao Dou](https://md.research.elamur.ai/free/en/authors/guangyao-dou/) - [Liqiang Nie](https://md.research.elamur.ai/free/en/authors/liqiang-nie/) - [Qingkai Zeng](https://md.research.elamur.ai/free/en/authors/qingkai-zeng/) - [Wenhao Yu](https://md.research.elamur.ai/free/en/authors/wenhao-yu/) - [Yuwei Fang](https://md.research.elamur.ai/free/en/authors/yuwei-fang/) - [Zhaoxuan Tan](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/) - [Zheyuan Liu](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/), [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) ## Cited by Papers of our library cite their works 53 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mengzhao-jia/cited-by/). Updated 2 November 2026