Timo Kaufmann

According to our database, Timo Kaufmann authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning.

Timo Kaufmann, Yannick Metz, Daniel A. Keim, Eyke Hüllermeier

CoRR, December, 2025

Feedback Forensics: A Toolkit to Measure AI Personality.

Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Robert Mullins

CoRR, September, 2025

A Survey of Reinforcement Learning from Human Feedback.

Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier

Trans. Mach. Learn. Res., 2025

Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries.

Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hüllermeier, Paul Weng, Yifei Zhu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Inverse Constitutional AI: Compressing Preferences into Principles.

Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Samuel Albanie, Robert Mullins

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback.

Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Puchen Xu, Eyke Hüllermeier, Paul Weng, Yifei Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Problem Solving Through Human-AI Preference-Based Cooperation.

Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze

CoRR, 2024

OCALM: Object-Centric Assessment with Language Models.

Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier

CoRR, 2024

2023

On the Challenges and Practices of Reinforcement Learning from Real Human Feedback.

Timo Kaufmann, Sarah Ball, Jacob Beck, Eyke Hüllermeier, Frauke Kreuter

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023