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2020 – today
- 2024
[c4]Maria Lerner, Florian E. Dorner, Elliott Ash, Naman Goel:
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. ACL (1) 2024: 9403-9425- [c3]Florian E. Dorner, Moritz Hardt:
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. ICML 2024 - [i8]Florian E. Dorner, Moritz Hardt:
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. CoRR abs/2402.02249 (2024) - [i7]Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel:
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. CoRR abs/2406.05902 (2024) - [i6]Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt:
Training on the Test Task Confounds Evaluation and Emergence. CoRR abs/2407.07890 (2024) - 2023
- [c2]Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev:
Human-Guided Fair Classification for Natural Language Processing. ICLR 2023 - [c1]Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin T. Vechev:
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization. NeurIPS 2023 - [i5]Florian E. Dorner, Nikola Konstantinov
, Georgi Pashaliev, Martin T. Vechev:
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization. CoRR abs/2305.16272 (2023) - [i4]Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava:
Do personality tests generalize to Large Language Models? CoRR abs/2311.05297 (2023) - 2022
- [i3]Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev:
Human-Guided Fair Classification for Natural Language Processing. CoRR abs/2212.10154 (2022) - 2021
- [i2]Florian E. Dorner:
Measuring Progress in Deep Reinforcement Learning Sample Efficiency. CoRR abs/2102.04881 (2021) - [i1]Florian E. Dorner:
Algorithmic collusion: A critical review. CoRR abs/2110.04740 (2021)
Coauthor Index
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