SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 626–650 of 1088 papers

TitleStatusHype
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?—0
Training Data Extraction From Pre-trained Language Models: A Survey—0
Training Data Protection with Compositional Diffusion Models—0
Training Dynamic based data filtering may not work for NLP datasets—0
Training Dynamics of Deep Network Linear Regions—0
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law—0
Training Large ASR Encoders with Differential Privacy—0
Training Production Language Models without Memorizing User Data—0
Training Text-to-Text Transformers with Privacy Guarantees—0
TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues—0
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond—0
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders—0
Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier AI Models—0
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning—0
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes—0
Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations—0
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data—0
Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge—0
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks—0
Understanding Generalization in Diffusion Models via Probability Flow Distance—0
Understanding Learning through the Lens of Dynamical Invariants—0
Understanding Memorization in Generative Models via Sharpness in Probability Landscapes—0
Understanding the Effect of the Long Tail on Neural Network Compression—0
Understanding the Local Geometry of Generative Model Manifolds—0
Understanding (Un)Intended Memorization in Text-to-Image Generative 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