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Kristian Kersting

Kristian Kersting has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Abbas Goher Khan, Ercong Nie, Eyke Hüllermeier.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 56 · 557 works · 10,653 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 145 times in our library · 10 more in our library without a page yet · ⭐ Paper Stars ranking: #7559

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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.

 Works by year

2020s

 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. Problem Solving Through Human–AI Preference-based Cooperation (2025 · 9 citations)
    Generative AI systems, including LLMs, vision-language models and code models, still struggle with complex expert-domain tasks.
  3. KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report (2026 · 1 citation)
    Open German pretraining data still trails English. Native German collections are usually smaller, noisier, less documented, and seldom tested by actually training models on them. The authors take a different route: instead of crawling more German web text, they machine-translate a strong English mixture, ClimbMix…

All works

13 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. Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPatrick Schramowski et al.2023 · 253 citations
  2. ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models ↗arXiv:2306.04563 · no summary yetSophie Jentzsch, Kristian Kersting2023 · 81 citations
  3. Mechanistic Design and Scaling of Hybrid Architectures ↗arXiv (Cornell University) · no summary yetMichael Poli et al.2024 · 22 citations
  4. Problem Solving Through Human–AI Preference-based CooperationComputational LinguisticsSubhabrata Dutta, Timo Kaufmann, Goran Glavaš, et al.2025 · 9 citations
  5. Systems AI: A Declarative Learning Based Programming Perspective ↗International Joint Conference on Artificial Intelligence · no summary yetParisa Kordjamshidi, Dan Roth, Kristian Kersting2018 · 7 citations
  6. Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation ↗Proceedings of the Ninth Conference on Machine Translation · no summary yetEleftherios Avramidis et al.2024 · 6 citations
  7. Declarative Learning-Based Programming as an Interface to AI Systems ↗Frontiers in Artificial Intelligence · no summary yetParisa Kordjamshidi, Dan Roth, Kristian Kersting2022 · 6 citations
  8. Reasoning about Large Populations with Lifted Probabilistic Inference ↗no summary yetKristian Kersting et al.2007 · 4 citations
  9. KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full ReportarXiv:2606.03773Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.2026 · 1 citation
  10. Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22,161) ↗DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yetPriyank Jaini et al.2022
  11. Declarative Learning-Based Programming as an Interface to AI Systems ↗arXiv (Cornell University) · no summary yetParisa Kordjamshidi, Dan Roth, Kristian Kersting2019

 Co-authors here

12 of 22 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 145 times (of the 149,439 papers whose bibliographies we read); 38 citing papers with a page here →.

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