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Zifeng Ding

Zifeng Ding has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Question answering, Multilingual & cross-lingual NLP; often with Ercong Nie, Hinrich Schuetze, Andreas Vlachos.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 9 · 32 works · 287 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 63 times in our library · ⭐ Paper Stars ranking: #7195

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2022–2025 · 16 paperscurrent🏢SiemensMunich · Germany2022–2025 · 11 paperscurrent🎓University of CambridgeCambridge · United Kingdom2024–2025 · 5 paperscurrent🎓Munich Center for Machine LearningMunich · Germany2024–2025 · 2 paperscurrent🎓Jiangxi Normal UniversityNanchang · China2025 · 1 papercurrent🎓Fuzhou UniversityFuzhou · China2022 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workKnowledge graphs & ontologies · 1 workQuestion answering · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers20252 papers

 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 (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 (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 (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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