Forecasting AI progress: A research agenda R Gruetzemacher, FE Dorner, N Bernaola-Alvarez, C Giattino, D Manheim Technological Forecasting and Social Change 170, 120909, 2021 | 37 | 2021 |
Do personality tests generalize to Large Language Models? FE Dorner, T Sühr, S Samadi, A Kelava Socially Responsible Language Modelling Research (SoLaR) 2023 Workshop at …, 2023 | 13 | 2023 |
Measuring Progress in Deep Reinforcement Learning Sample Efficiency FE Dorner arXiv preprint arXiv:2102.04881, 2021 | 10 | 2021 |
Algorithmic collusion: A critical review FE Dorner arXiv preprint arXiv:2110.04740, 2021 | 9 | 2021 |
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization FE Dorner, N Konstantinov, G Pashaliev, M Vechev NeurIPS 2023, 2023 | 8 | 2023 |
Human-Guided Fair Classification for Natural Language Processing FE Dorner, M Peychev, N Konstantinov, N Goel, E Ash, M Vechev ICLR 2023, 2022 | 5 | 2022 |
Training on the Test Task Confounds Evaluation and Emergence R Dominguez-Olmedo, FE Dorner, M Hardt arXiv preprint arXiv:2407.07890, 2024 | 1 | 2024 |
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget FE Dorner, M Hardt ICML 2024, 2024 | 1 | 2024 |
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback E Agis Lerner, FE Dorner, E Ash, N Goel ACL 2024, 2024 | | 2024 |