Florian E. Dorner

According to our database1, Florian E. Dorner authored at least 10 papers between 2021 and 2024.

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Bibliography

2024
Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data.
CoRR, 2024

Training on the Test Task Confounds Evaluation and Emergence.
CoRR, 2024

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback.
CoRR, 2024

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget.
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.
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?
CoRR, 2023

Incentivizing Honesty among Competitors in Collaborative Learning and Optimization.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
Algorithmic collusion: A critical review.
CoRR, 2021

Measuring Progress in Deep Reinforcement Learning Sample Efficiency.
CoRR, 2021


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