--- title: "Ji Zhang — author profile and papers — Elamur Research" description: "Ji Zhang, Southwest Jiaotong University: 5 papers on Elamur Research (2021–2024), h-index 6 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/ji-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ji-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ji Zhang # Ji Zhang Ji Zhang has 5 papers in our library, in 2021–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/), [Anwen Hu](https://md.research.elamur.ai/free/en/authors/anwen-hu/), [Haiyang Xu](https://md.research.elamur.ai/free/en/authors/haiyang-xu/). 5 papers in our library · 2021–2024 [OpenAlex](https://openalex.org/A5100329282) · [ORCID](https://orcid.org/0000-0001-6949-3673) · [**h-index 6**](https://openalex.org/authors/A5100329282) · [20 works](https://openalex.org/works?filter=author.id:A5100329282) · [262 citations](https://openalex.org/works?filter=author.id:A5100329282&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/ji-zhang/#papers) · [🔗 Cited 281 times in our library](https://md.research.elamur.ai/free/en/authors/ji-zhang/cited-by/) · [⭐ Paper Stars ranking: #3498](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3498) 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=Ji+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ji+Zhang) · [dblp](https://dblp.org/search?q=Ji+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Ji+Zhang) ## Affiliations [🎓**Southwest Jiaotong University** Chengdu · China 2026 · 2 papers*current*](https://ror.org/00hn7w693) · [🏢**Alibaba Group** Hangzhou · China 2021–2025 · 10 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2021–2025 · 7 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2024** 1 paper Ji Zhang's papers of 2024](https://md.research.elamur.ai/free/en/papers/hu-2024-mplug-docowl-1-5-unified/) · [**2023** 3 papers Ji Zhang's papers of 2023](https://md.research.elamur.ai/free/en/authors/ji-zhang/year/2023/) · [**2021** 1 paper Ji Zhang's papers of 2021](https://md.research.elamur.ai/free/en/papers/chen-2021-kace-generating-knowledge-aware-contrastive/) ## Papers The most cited first (OpenAlex and our library). 1. **[mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration](https://md.research.elamur.ai/free/en/papers/ye-2023-mplug-owl2-revolutionizing-multi-modal/)** *(2023 · 136 citations)* Multi-modal LLMs usually take one of two routes. Some keep the language model frozen and feed it visual features through a Q-former or a linear projection, which limits how much the modalities can help each other. Others fine-tune the LLM on multi-modal instructions, which tends to weaken its text skills. mPLUG-Owl2… 2. **[UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model](https://md.research.elamur.ai/free/en/papers/ye-2023-ureader-universal-ocr-free-visually/)** *(2023 · 128 citations)* Understanding images that contain text, such as documents, tables, charts, webpages and street photos, usually requires either an external OCR system or costly domain-specific pretraining. 3. **[mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding](https://md.research.elamur.ai/free/en/papers/hu-2024-mplug-docowl-1-5-unified/)** *(2024 · 109 citations)* Multimodal LLMs that read document images without an external OCR engine can usually recognize text, but they often miss how that text is organized. 4. **[CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility](https://md.research.elamur.ai/free/en/papers/xu-2023-cvalues-measuring-values-chinese/)** *(2023 · 63 citations)* Existing Chinese LLM benchmarks such as C-EVAL, M3KE and GAOKAO-Bench mostly test knowledge and reasoning. 5. **[KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/chen-2021-kace-generating-knowledge-aware-contrastive/)** *(2021 · 28 citations)* Most explanation generators in NLP only justify the chosen label ("why A"). This paper argues that contrastive explanations ("why A and not B") are more useful, both for users and for the model. KACE is a post-hoc framework for natural language inference built from three stages: ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/) ×4 - [Anwen Hu](https://md.research.elamur.ai/free/en/authors/anwen-hu/) ×3 - [Haiyang Xu](https://md.research.elamur.ai/free/en/authors/haiyang-xu/) ×3 - [Jiabo Ye](https://md.research.elamur.ai/free/en/authors/jiabo-ye/) ×3 - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) ×2 - [Guohai Xu](https://md.research.elamur.ai/free/en/authors/guohai-xu/) ×2 - [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/) ×2 - [Qi Qian](https://md.research.elamur.ai/free/en/authors/qi-qian/) ×2 - [Qin Jin](https://md.research.elamur.ai/free/en/authors/qin-jin/) ×2 - [Qinghao Ye](https://md.research.elamur.ai/free/en/authors/qinghao-ye/) ×2 - [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/) - [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/), [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) ## Cited by Papers of our library cite their works 281 times (of the 141,840 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ji-zhang/cited-by/). Updated 24 October 2026