--- title: "Jie Peng — author profile and papers · Question answering" description: "Jie Peng, National University of Defense Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/jie-peng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jie-peng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jie Peng # Jie Peng Jie Peng has 2 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Ang Li](https://md.research.elamur.ai/free/en/authors/ang-li/), [Kangqi Ni](https://md.research.elamur.ai/free/en/authors/kangqi-ni/), [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5135334016) · [**h-index 0**](https://openalex.org/authors/A5135334016) · [4 works](https://openalex.org/works?filter=author.id:A5135334016) · [0 citations](https://openalex.org/works?filter=author.id:A5135334016&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jie-peng/#papers) · [⭐ Paper Stars ranking: #13656](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13656) 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=Jie+Peng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jie+Peng) · [dblp](https://dblp.org/search?q=Jie+Peng) · [ACL Anthology](https://aclanthology.org/search/?q=Jie+Peng) ## Affiliations [🎓**National University of Defense Technology** Changsha · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jie-peng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations](https://md.research.elamur.ai/free/en/papers/zhao-2026-learning-flexible-large-multimodal-models/)** *(2026)* Multimodal LLMs that handle many input types usually assume every training and test sample includes all modalities. 2. **[Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/shan-2026-reasoning-ontology-graph-type-constrained/)** *(2026)* The paper tackles multi-hop knowledge graph question answering (KGQA) with LLMs. It targets two problems in earlier work. LLM-built ontologies label the same entity at uneven levels of abstraction. Subgraph-based search also lets in many paths ending in the wrong entity type, so the number of candidate paths… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Ang Li](https://md.research.elamur.ai/free/en/authors/ang-li/) - [Kangqi Ni](https://md.research.elamur.ai/free/en/authors/kangqi-ni/) - [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/) - [Xiaodong Wang](https://md.research.elamur.ai/free/en/authors/xiaodong-wang/) - [Xinyu Zhao](https://md.research.elamur.ai/free/en/authors/xinyu-zhao/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 2 November 2026