SOTAVerified

Memorization

Papers

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Showing 576–600 of 1088 papers

TitleStatusHype
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain AdaptationCode0
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement—0
Ethos: Rectifying Language Models in Orthogonal Parameter Space—0
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMsCode0
LLM-Oriented Retrieval Tuner—0
ROME: Memorization Insights from Text, Logits and Representation—0
Unveiling Privacy, Memorization, and Input Curvature Links—0
Learning Associative Memories with Gradient Descent—0
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition—0
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language ModelsCode0
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Code0
Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled MembershipsCode0
Towards Uncovering How Large Language Model Works: An Explainability Perspective—0
Neural Information Organizing and Processing -- Neural Machines—0
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization—0
Social Evolution of Published Text and The Emergence of Artificial Intelligence Through Large Language Models and The Problem of Toxicity and Bias—0
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments—0
Wasserstein proximal operators describe score-based generative models and resolve memorization—0
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models—0
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels—0
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks—0
EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping—0
Human-Centered Privacy Research in the Age of Large Language Models—0
Déjà Vu Memorization in Vision-Language Models—0
Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic DataCode0
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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