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Memorization

Papers

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Showing 551–600 of 1088 papers

TitleStatusHype
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training—0
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning—0
Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities—0
Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data—0
Sharpness-Aware Machine Unlearning—0
SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach—0
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models—0
Smoothness Similarity Regularization for Few-Shot GAN Adaptation—0
Social Evolution of Published Text and The Emergence of Artificial Intelligence Through Large Language Models and The Problem of Toxicity and Bias—0
Social Learning: Towards Collaborative Learning with Large Language Models—0
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement—0
Soft Label Memorization-Generalization for Natural Language Inference—0
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data—0
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark—0
SoK: Memorization in General-Purpose Large Language Models—0
Spurious Privacy Leakage in Neural Networks—0
SSP-RACL: Classification of Noisy Fundus Images with Self-Supervised Pretraining and Robust Adaptive Credal Loss—0
Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization—0
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs—0
State-Regularized Recurrent Networks—0
State-Regularized Recurrent Neural Networks—0
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions—0
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference—0
Stop just recalling memorized relations: Extracting Unseen Relational Triples from the context—0
Strong Copyright Protection for Language Models via Adaptive Model Fusion—0
Structure Destruction and Content Combination for Face Anti-Spoofing—0
Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs—0
Superficial Self-Improved Reasoners Benefit from Model Merging—0
Surveying Generative AI's Economic Expectations—0
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning—0
Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs—0
Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection—0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning—0
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts—0
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization—0
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge—0
Test-time regression: a unifying framework for designing sequence models with associative memory—0
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity—0
The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff—0
The Curious Case of Benign Memorization—0
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models—0
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification—0
The Impact of Input Order Bias on Large Language Models for Software Fault Localization—0
The Impact of Reinitialization on Generalization in Convolutional Neural Networks—0
The Information Complexity of Learning Tasks, their Structure and their Distance—0
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training—0
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity—0
The Memorization Problem: Can We Trust LLMs' Economic Forecasts?—0
The Method for Storing Patterns in Neural Networks-Memorization and Recall of QR code Patterns-—0
The Myth of Culturally Agnostic AI Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy95.4—Unverified
2Gopher-280B (few-shot, k=5)Accuracy80—Unverified
3PaLM-62B (few-shot, k=5)Accuracy77.7—Unverified