Florian E. Dorner

According to our database, Florian E. Dorner authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

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, July, 2025

ROC-n-reroll: How verifier imperfection affects test-time scaling.

Florian E. Dorner, Yatong Chen, André F. Cruz, Fanny Yang

CoRR, July, 2025

How Benchmark Prediction from Fewer Data Misses the Mark.

Guanhua Zhang, Florian E. Dorner, Moritz Hardt

CoRR, June, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Training on the Test Task Confounds Evaluation and Emergence.

Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget.

Florian E. Dorner, Moritz Hardt

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Do personality tests generalize to Large Language Models?

Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava

CoRR, 2023

Incentivizing Honesty among Competitors in Collaborative Learning and Optimization.

Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin T. Vechev

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human-Guided Fair Classification for Natural Language Processing.

Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Algorithmic collusion: A critical review.

Florian E. Dorner

CoRR, 2021

Measuring Progress in Deep Reinforcement Learning Sample Efficiency.

Florian E. Dorner

CoRR, 2021