---
title: "Volker Tresp — author profile and papers — Elamur Research"
description: "Volker Tresp, Siemens: 3 papers on Elamur Research (2025–2026), h-index 61 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/volker-tresp/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/volker-tresp/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Volker Tresp

# Volker Tresp

Volker Tresp has 3 papers in our library, in 2025–2026, 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/); often with [Jinhe Bi](https://md.research.elamur.ai/free/en/authors/jinhe-bi/), [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/), [Sikuan Yan](https://md.research.elamur.ai/free/en/authors/sikuan-yan/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5074808403) · [ORCID](https://orcid.org/0000-0001-9428-3686) · [Wikidata](https://www.wikidata.org/wiki/Q30087207) · [**h-index 61**](https://openalex.org/authors/A5074808403) · [543 works](https://openalex.org/works?filter=author.id:A5074808403) · [16,631 citations](https://openalex.org/works?filter=author.id:A5074808403&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/volker-tresp/#papers) · [🔗 Cited 160 times in our library](https://md.research.elamur.ai/free/en/authors/volker-tresp/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7226](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7226)

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=Volker+Tresp) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Volker+Tresp) · [dblp](https://dblp.org/search?q=Volker+Tresp) · [ACL Anthology](https://aclanthology.org/search/?q=Volker+Tresp)

## Affiliations

[🏢**Siemens** Munich · Germany 1990–2026 · 214 papers*current*](https://ror.org/059mq0909) · [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2012–2026 · 205 papersEmployment · Professor*current*](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2023–2026 · 44 papers*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) · [🎓**Yale University** New Haven · United States 1987–1990 · 4 papersEducation](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🏢**Siemens** Princeton · United States 2008–2019 · 3 papers](https://ror.org/04axb7e79)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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/) · [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 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/volker-tresp/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/volker-tresp/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. **[LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering](https://md.research.elamur.ai/free/en/papers/bi-2025-llava-steering-visual-instruction-tuning/)** *(2025 · 24 citations)* Multimodal LLMs built on the LLaVA recipe are expensive to adapt during visual instruction tuning, even with PEFT methods like LoRA.
3. **[Self-Evolving Multi-Agent Systems via Textual Backpropagation](https://md.research.elamur.ai/free/en/papers/ma-2026-self-evolving-multi-agent-systems/)** *(2026 · 3 citations)* Building multi-agent LLM systems usually means hand-crafting prompts, roles and topologies by trial and error.

## All works

10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Learning Gaussian processes from multiple tasks ↗](https://doi.org/10.1145/1102351.1102479) International Conference on Machine Learning · no summary yet**Kai Yu, Volker Tresp, Anton Schwaighofer*2005 · 395 citations*
2. **[Active learning via transductive experimental design ↗](https://doi.org/10.1145/1143844.1143980) International Conference on Machine Learning · no summary yet**Kai Yu, Jinbo Bi, Volker Tresp*2006 · 348 citations*
3. **[Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs ↗](https://aclanthology.org/2021.emnlp-main.658/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhen Han et al.*2021 · 159 citations*
4. **[Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework ↗](https://doi.org/10.1109/tpami.2021.3124805) arXiv:2006.13365 · no summary yet**Mehdi Ali et al.*2020 · 142 citations*
5. **[DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion ↗](https://aclanthology.org/2020.emnlp-main.593/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Zhen Han et al.*2020 · 89 citations*
6. **[Collaborative ordinal regression ↗](https://doi.org/10.1145/1143844.1143981) International Conference on Machine Learning · no summary yet**Shipeng Yu et al.*2006 · 52 citations*
7. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.*2026 · 49 citations*
8. **[An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing ↗](https://aclanthology.org/2020.emnlp-main.577/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Martin Schmitt et al.*2020 · 46 citations*
9. **[LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering](https://md.research.elamur.ai/free/en/papers/bi-2025-llava-steering-visual-instruction-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinhe Bi, Yujun Wang, Haokun Chen, et al.*2025 · 24 citations*
10. **[Self-Evolving Multi-Agent Systems via Textual Backpropagation](https://md.research.elamur.ai/free/en/papers/ma-2026-self-evolving-multi-agent-systems/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaowen Ma, Yunpu Ma, Chenyang Lin, et al.*2026 · 3 citations*

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Jinhe Bi](https://md.research.elamur.ai/free/en/authors/jinhe-bi/) ×3
- [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) ×2
- [Sikuan Yan](https://md.research.elamur.ai/free/en/authors/sikuan-yan/) ×2
- [Xiaowen Ma](https://md.research.elamur.ai/free/en/authors/xiaowen-ma/) ×2
- [Yunpu Ma](https://md.research.elamur.ai/free/en/authors/yunpu-ma/) ×2
- [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/)
- [Jeff Z. Pan](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/)
- [Kristian Kersting](https://md.research.elamur.ai/free/en/authors/kristian-kersting/)
- [Yijun Tian](https://md.research.elamur.ai/free/en/authors/yijun-tian/)
- [Yujun Wang](https://md.research.elamur.ai/free/en/authors/yujun-wang/)
- [Zifeng Ding](https://md.research.elamur.ai/free/en/authors/zifeng-ding/)

## Venues

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

- International Conference on Machine Learning ×3
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [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/)

## Cited by

Papers of our library cite their works 160 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/volker-tresp/cited-by/).

Updated 1 November 2026
