--- title: "Zifeng Ding — author profile and papers — Elamur Research" description: "Zifeng Ding, Siemens: 4 papers on Elamur Research (2025–2026), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zifeng-ding/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zifeng-ding/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zifeng Ding # Zifeng Ding Zifeng Ding has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/), [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/), [Andreas Vlachos](https://md.research.elamur.ai/free/en/authors/andreas-vlachos/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5012515392) · [ORCID](https://orcid.org/0009-0000-9713-2701) · [**h-index 9**](https://openalex.org/authors/A5012515392) · [32 works](https://openalex.org/works?filter=author.id:A5012515392) · [287 citations](https://openalex.org/works?filter=author.id:A5012515392&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zifeng-ding/#papers) · [🔗 Cited 63 times in our library](https://md.research.elamur.ai/free/en/authors/zifeng-ding/cited-by/) · [⭐ Paper Stars ranking: #7195](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7195) 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=Zifeng+Ding) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zifeng+Ding) · [dblp](https://dblp.org/search?q=Zifeng+Ding) · [ACL Anthology](https://aclanthology.org/search/?q=Zifeng+Ding) ## Affiliations [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2022–2025 · 16 papers*current*](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) · [🏢**Siemens** Munich · Germany 2022–2025 · 11 papers*current*](https://ror.org/059mq0909) · [🎓**University of Cambridge** Cambridge · United Kingdom 2024–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) · [🎓**Jiangxi Normal University** Nanchang · China 2025 · 1 paper*current*](https://ror.org/05nkgk822) · [🎓**Fuzhou University** Fuzhou · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/fuzhou-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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/) 🧭 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/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [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/) · [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/zifeng-ding/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/zifeng-ding/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yan-2026-memory-r1-enhancing-large-language/)** *(2026 · 49 citations)* LLMs lose information that falls outside their context window. Systems that add an external memory bank usually depend on fixed heuristics or prompted LLMs to choose what to store and retrieve, and nothing in that choice is trained against answer correctness. Memory-R1 addresses this with reinforcement learning… 2. **[Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering](https://md.research.elamur.ai/free/en/papers/sui-2025-can-knowledge-graphs-make-large/)** *(2025 · 16 citations)* Most benchmarks for LLMs combined with knowledge graphs use closed-ended questions with short entity answers. 3. **[BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning](https://md.research.elamur.ai/free/en/papers/nie-2025-bmike-53-investigating-cross-lingual/)** *(2025 · 12 citations)* Knowledge editing (KE) updates facts stored in large language models without retraining. Most gradient-free work is monolingual, and it is unclear whether an edit made in English carries over to questions asked in other languages. The authors build BMIKE-53, a benchmark for cross-lingual in-context knowledge editing… 4. **[Multimodal Claim Extraction for Fact-Checking](https://md.research.elamur.ai/free/en/papers/teo-2026-multimodal-claim-extraction-fact-checking/)** *(2026)* Claim extraction is the first stage of automated fact-checking, but existing approaches mostly handle text alone. ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/) ×2 - [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) ×2 - [Andreas Vlachos](https://md.research.elamur.ai/free/en/authors/andreas-vlachos/) - [Bryan Hooi](https://md.research.elamur.ai/free/en/authors/bryan-hooi/) - [Helmut Schmid](https://md.research.elamur.ai/free/en/authors/helmut-schmid/) - [Jeff Z. Pan](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/) - [Jinhe Bi](https://md.research.elamur.ai/free/en/authors/jinhe-bi/) - [Kristian Kersting](https://md.research.elamur.ai/free/en/authors/kristian-kersting/) - [Michael Schlichtkrull](https://md.research.elamur.ai/free/en/authors/michael-schlichtkrull/) - [Mingyang Wang](https://md.research.elamur.ai/free/en/authors/mingyang-wang/) - [Sikuan Yan](https://md.research.elamur.ai/free/en/authors/sikuan-yan/) - [Volker Tresp](https://md.research.elamur.ai/free/en/authors/volker-tresp/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/): [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026](https://md.research.elamur.ai/free/en/venues/wassa/2026/) ## Cited by Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zifeng-ding/cited-by/). Updated 1 November 2026