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memorization

26 papers

Papers

A Simple Model of Inference Scaling Laws ICML 2025 Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective ICML 2025 Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion ICML 2025 Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers ICML 2025 Empirical Privacy Variance ICML 2025 Fragments to Facts: Partial-Information Fragment Inference from LLMs ICML 2025 LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models ICML 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities against Hard Perturbations ICML 2025 Memorization Sinks: Isolating Memorization during LLM Training ICML 2025 Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs ICML 2025 SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training ICML 2025 Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization COLT 2025 Towards Memorization Estimation: Fast, Formal and Free ICML 2025 Trustworthy Machine Learning through Data-Specific Indistinguishability ICML 2025 Understanding and Mitigating Memorization in Diffusion Models for Tabular Data ICML 2025 What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? ICML 2025 When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets ICML 2025 Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data ICML 2024 Copyright Traps for Large Language Models ICML 2024 Extracting Training Data From Document-Based VQA Models ICML 2024 How Spurious Features are Memorized: Precise Analysis for Random and NTK Features ICML 2024 Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing ICML 2024 Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models ECCV 2024 Memorization Through the Lens of Curvature of Loss Function Around Samples ICML 2024 Unveiling Privacy, Memorization, and Input Curvature Links ICML 2024