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Yunpu Ma

Yunpu Ma has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Vision & language; often with Hinrich Schuetze, Jinhe Bi, Volker Tresp.

4 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 19 · 107 works · 1,493 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 170 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7847

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 · Germany2017–2026 · 71 papersEmploymentcurrent🎓Munich Center for Machine LearningMunich · Germany2022–2026 · 16 paperscurrent🏥LMU KlinikumMunich · Germany2026 · 2 paperscurrent🤝Machine ScienceCambridge · United States2026 · 2 paperscurrent🏢SiemensMunich · Germany2017–2024 · 27 papers

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering (2025 · 24 citations)
    Multimodal LLMs built on the LLaVA recipe are expensive to adapt during visual instruction tuning, even with PEFT methods like LoRA.
  2. Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes (2025 · 16 citations)
    Reasoning language models (RLMs) such as DeepSeek-R1 sometimes switch into other languages within their chain of thought.
  3. Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation (2026 · 5 citations)
    LLM-based self-evolving agents usually improve along one of two separate tracks. Some learn from accumulated experience but stay limited to a fixed, hand-defined set of tools and expert agents. Others build new tools or agents, but they do so without lessons from earlier runs, so successes are hard to repeat and…
  4. Self-Evolving Multi-Agent Systems via Textual Backpropagation (2026 · 3 citations)
    Building multi-agent LLM systems usually means hand-crafting prompts, roles and topologies by trial and error.

All works

7 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetHaohai Sun et al.2021 · 230 citations
  2. Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetZhen Han et al.2021 · 159 citations
  3. DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetZhen Han et al.2020 · 89 citations
  4. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhe Bi, Yujun Wang, Haokun Chen, et al.2025 · 24 citations
  5. Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal CausesConference on Empirical Methods in Natural Language Processing (EMNLP)Mingyang Wang, Lukas Lange, Heike Adel, et al.2025 · 16 citations
  6. Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Cheng, Zeming Liu, Yingyu Shan, et al.2026 · 5 citations
  7. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations

 Co-authors here

12 of 17 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 170 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

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