Florian E. Dorner

19 papers A* 5Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Challenging the Validity of Personality Tests for Large Language Models. EAAMO Tom Sühr, Florian E. Dorner, Samira Samadi, Augustin Kelava
2025	J	`jnl`	How Benchmark Prediction from Fewer Data Misses the Mark. CoRR Guanhua Zhang, Florian E. Dorner, Moritz Hardt
2025	A*	`conf`	Limits to scalable evaluation at the frontier: LLM as judge won't beat twice the data. ICLR Florian E. Dorner, Vivian Yvonne Nastl, Moritz Hardt
2025	J	`jnl`	ROC-n-reroll: How verifier imperfection affects test-time scaling. CoRR Florian E. Dorner, Yatong Chen, André F. Cruz, Fanny Yang
2025	J	`jnl`	Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead. CoRR Tom Sühr, Florian E. Dorner, Olawale Salaudeen, Augustin Kelava, Samira Samadi
2025	A*	`conf`	Training on the Test Task Confounds Evaluation and Emergence. ICLR Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt
2024	A*	`conf`	Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. ICML Florian E. Dorner, Moritz Hardt
2024	J	`jnl`	Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. CoRR Florian E. Dorner, Moritz Hardt
2024	J	`jnl`	Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data. CoRR Florian E. Dorner, Vivian Y. Nastl, Moritz Hardt
2024	J	`jnl`	Training on the Test Task Confounds Evaluation and Emergence. CoRR Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt
2024	—	`conf`	Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. ACL (1) Maria Lerner, Florian E. Dorner, Elliott Ash, Naman Goel
2024	J	`jnl`	Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. CoRR Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel
2023	J	`jnl`	Do personality tests generalize to Large Language Models? CoRR Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava
2023	A*	`conf`	Human-Guided Fair Classification for Natural Language Processing. ICLR Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev
2023	A*	`conf`	Incentivizing Honesty among Competitors in Collaborative Learning and Optimization. NeurIPS Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin T. Vechev
2023	J	`jnl`	Incentivizing Honesty among Competitors in Collaborative Learning and Optimization. CoRR Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin T. Vechev
2022	J	`jnl`	Human-Guided Fair Classification for Natural Language Processing. CoRR Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev
2021	J	`jnl`	Algorithmic collusion: A critical review. CoRR Florian E. Dorner
2021	J	`jnl`	Measuring Progress in Deep Reinforcement Learning Sample Efficiency. CoRR Florian E. Dorner