Forecasting AI progress: A research agenda von Gruetzemacher, Ross, Dorner, Florian E., Bernaola-Alvarez, Niko, Giattino, Charlie, Manheim, David

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Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget von Dorner, Florian E, Hardt, Moritz

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Algorithmic collusion: A critical review von Dorner, Florian E

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Measuring Progress in Deep Reinforcement Learning Sample Efficiency von Dorner, Florian E

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Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data von Dorner, Florian E, Nastl, Vivian Y, Hardt, Moritz

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Training on the Test Task Confounds Evaluation and Emergence von Dominguez-Olmedo, Ricardo, Dorner, Florian E, Hardt, Moritz

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Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback von Lerner, Emilia Agis, Dorner, Florian E, Ash, Elliott, Goel, Naman

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Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget von Dorner, Florian E, Hardt, Moritz

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Challenging the Validity of Personality Tests for Large Language Models von Sühr, Tom, Dorner, Florian E, Samadi, Samira, Kelava, Augustin

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Incentivizing Honesty among Competitors in Collaborative Learning and Optimization von Dorner, Florian E, Konstantinov, Nikola, Pashaliev, Georgi, Vechev, Martin

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Algorithmic collusion: A critical review von Dorner, Florian E

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Measuring Progress in Deep Reinforcement Learning Sample Efficiency von Dorner, Florian E

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Human-Guided Fair Classification for Natural Language Processing von Dorner, Florian E, Peychev, Momchil, Konstantinov, Nikola, Goel, Naman, Ash, Elliott, Vechev, Martin

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Training on the Test Task Confounds Evaluation and Emergence von Dominguez-Olmedo, Ricardo, Dorner, Florian E, Hardt, Moritz

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Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data von Dorner, Florian E, Nastl, Vivian Y, Hardt, Moritz

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Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback von Emilia Agis Lerner, Dorner, Florian E, Ash, Elliott, Goel, Naman

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Challenging the Validity of Personality Tests for Large Language Models von Sühr, Tom, Dorner, Florian E, Samadi, Samira, Kelava, Augustin

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Incentivizing Honesty among Competitors in Collaborative Learning and Optimization von Dorner, Florian E, Konstantinov, Nikola, Pashaliev, Georgi, Vechev, Martin

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Forecasting AI progress: A research agenda von Gruetzemacher, Ross, Dorner, Florian E, Bernaola-Alvarez, Niko, Giattino, Charlie, Manheim, David

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Human-Guided Fair Classification for Natural Language Processing von Dorner, Florian E, Peychev, Momchil, Konstantinov, Nikola, Goel, Naman, Ash, Elliott, Vechev, Martin

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