Measuring Progress in Deep Reinforcement Learning Sample Efficiency. - Florian E. Dorner (CoRR, 2021)

Algorithmic collusion: A critical review. - Florian E. Dorner (CoRR, 2021)

Human-Guided Fair Classification for Natural Language Processing. - Florian E. Dorner; Momchil Peychev; Nikola Konstantinov; Naman Goel; Elliott Ash; Martin T. Vechev (ICLR, 2023)

Incentivizing Honesty among Competitors in Collaborative Learning and Optimization. - Florian E. Dorner; Nikola Konstantinov; Georgi Pashaliev; Martin T. Vechev (NeurIPS, 2023)

Do personality tests generalize to Large Language Models? - Florian E. Dorner; Tom Sühr; Samira Samadi; Augustin Kelava (CoRR, 2023)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. - Maria Lerner; Florian E. Dorner; Elliott Ash; Naman Goel (ACL (1), 2024)

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. - Florian E. Dorner; Moritz Hardt (ICML, 2024)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. - Emilia Agis Lerner; Florian E. Dorner; Elliott Ash; Naman Goel (CoRR, 2024)

Training on the Test Task Confounds Evaluation and Emergence. - Ricardo Dominguez-Olmedo; Florian E. Dorner; Moritz Hardt (ICLR, 2025)

Limits to scalable evaluation at the frontier: LLM as judge won't beat twice the data. - Florian E. Dorner; Vivian Yvonne Nastl; Moritz Hardt (ICLR, 2025)

How Benchmark Prediction from Fewer Data Misses the Mark. - Guanhua Zhang; Florian E. Dorner; Moritz Hardt (CoRR, 2025)

ROC-n-reroll: How verifier imperfection affects test-time scaling. - Florian E. Dorner; Yatong Chen; André F. Cruz; Fanny Yang (CoRR, 2025)

Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead. - Tom Sühr; Florian E. Dorner; Olawale Salaudeen; Augustin Kelava; Samira Samadi (CoRR, 2025)