Timo Kaufmann

11 papers A* 3Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey of Reinforcement Learning from Human Feedback.
Trans. Mach. Learn. Res.
Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier
2025 A* conf
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries.
ICML
Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hüllermeier, Paul Weng, Yifei Zhu
2025 A* conf
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback.
AAAI
Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Puchen Xu, Eyke Hüllermeier, Paul Weng, Yifei Zhu
2025 J jnl
Feedback Forensics: A Toolkit to Measure AI Personality.
CoRR
Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Robert Mullins
2025 A* conf
Inverse Constitutional AI: Compressing Preferences into Principles.
ICLR
Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Samuel Albanie, Robert Mullins
2025 J jnl
ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning.
CoRR
Timo Kaufmann, Yannick Metz, Daniel A. Keim, Eyke Hüllermeier
2024 J jnl
Inverse Constitutional AI: Compressing Preferences into Principles.
CoRR
Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Samuel Albanie, Robert Mullins
2024 J jnl
OCALM: Object-Centric Assessment with Language Models.
CoRR
Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier
2024 J jnl
Problem Solving Through Human-AI Preference-Based Cooperation.
CoRR
Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze
2023 J jnl
A Survey of Reinforcement Learning from Human Feedback.
CoRR
Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier
2023 — conf
On the Challenges and Practices of Reinforcement Learning from Real Human Feedback.
PKDD/ECML Workshops (2)
Timo Kaufmann, Sarah Ball, Jacob Beck, Eyke Hüllermeier, Frauke Kreuter