SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–475 of 1088 papers

TitleStatusHype
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?—0
Data-centric NLP Backdoor Defense from the Lens of Memorization—0
Training Large ASR Encoders with Differential Privacy—0
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting—0
Promise and Peril of Collaborative Code Generation Models: Balancing Effectiveness and Memorization—0
Implicit Reasoning in Deep Time Series Forecasting—0
Online Learning via Memory: Retrieval-Augmented Detector Adaptation—0
Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle ChallengesCode0
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models—0
Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks—0
Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models—0
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study—0
Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning—0
Generalization vs. Memorization in the Presence of Statistical Biases in Transformers—0
EDCSSM: Edge Detection with Convolutional State Space Model—0
Iterative Graph AlignmentCode0
The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text MemorizationCode0
Avoiding Generative Model Writer's Block With Embedding Nudging—0
Memorization in In-Context Learning—0
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation—0
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect—0
Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition—0
Generating Streamlining Constraints with Large Language 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