Theory of Machine Learning, EPFL
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llm-adaptive-attacks
llm-adaptive-attacks PublicJailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks [ICLR 2025]
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understanding-fast-adv-training
understanding-fast-adv-training PublicUnderstanding and Improving Fast Adversarial Training [NeurIPS 2020]
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llm-past-tense
llm-past-tense PublicDoes Refusal Training in LLMs Generalize to the Past Tense? [ICLR 2025]
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why-weight-decay
why-weight-decay PublicWhy Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
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sharpness-vs-generalization
sharpness-vs-generalization PublicA modern look at the relationship between sharpness and generalization [ICML 2023]
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OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents [NeurIPS 2025 Spotlight]
tml-epfl/os-harm’s past year of commit activity - sub-n-grams-are-stationary Public
tml-epfl/sub-n-grams-are-stationary’s past year of commit activity - learning-parametric-distributions-from-samples-and-preferences Public
Learning Parametric Distributions from Samples and Preferences [ICML 2025]
tml-epfl/learning-parametric-distributions-from-samples-and-preferences’s past year of commit activity - llm-adaptive-attacks Public
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks [ICLR 2025]
tml-epfl/llm-adaptive-attacks’s past year of commit activity - icl-alignment Public
Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
tml-epfl/icl-alignment’s past year of commit activity - long-is-more-for-alignment Public
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]
tml-epfl/long-is-more-for-alignment’s past year of commit activity - sharpness-vs-generalization Public
A modern look at the relationship between sharpness and generalization [ICML 2023]
tml-epfl/sharpness-vs-generalization’s past year of commit activity
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