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Timo Kaufmann

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 9:46 PM AMS

3

papers

32

total citations

papers (3)

Inverse Constitutional AI: Compressing Preferences into Principles

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

ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning

NEURIPS 2025arXiv