Theory of Machine Learning, EPFL
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llm-adaptive-attacks
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Official Implementation of ATWU from "Learning What to Forget: Improving LLM Unlearning via Learned Token-Level Importance" 🚀
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Code for "(How) Learning Rates Regulate Catastrophic Overtraining", COLM 2026
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The code for "Incremental Learning of Sparse Attention Patterns in Transformers"
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tml-epfl/sparse-attention-dynamics's past year of commit activity - sub-n-grams-are-stationary Public
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tml-epfl/sub-n-grams-are-stationary's past year of commit activity - coconut Public Forked from facebookresearch/coconut
Training Large Language Model to Reason in a Continuous Latent Space
- softmax Public
Official code for the paper "Gradient Flow Polarizes Softmax Outputs towards Low-Entropy Solutions"
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AXLearn framework slightly modified to extract the attention sinks metrics.
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OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents [NeurIPS 2025 Spotlight]
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Learning Parametric Distributions from Samples and Preferences [ICML 2025]
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