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How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios., , , , , , , , и . NeurIPS, (2022)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , и 440 other автор(ы). Trans. Mach. Learn. Res., (2023)The Trojan Detection Challenge., , , , , , , , , и 9 other автор(ы). NeurIPS (Competition and Demos), том 220 из Proceedings of Machine Learning Research, стр. 279-291. PMLR, (2021)What Would Jiminy Cricket Do? Towards Agents That Behave Morally., , , , , , , , и . NeurIPS Datasets and Benchmarks, (2021)Measuring Massive Multitask Language Understanding., , , , , , и . ICLR, OpenReview.net, (2021)PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures., , , , , , и . CVPR, стр. 16762-16771. IEEE, (2022)Scaling Out-of-Distribution Detection for Real-World Settings., , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 8759-8773. PMLR, (2022)How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 15241-15254. PMLR, (2022)HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal., , , , , , , , , и 2 other автор(ы). ICML, OpenReview.net, (2024)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , и 440 other автор(ы). CoRR, (2022)