SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 1088 papers

TitleStatusHype
WinoWhat: A Parallel Corpus of Paraphrased WinoGrande Sentences with Common Sense Categorization—0
RARE: Retrieval-Augmented Reasoning ModelingCode2
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use—0
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning—0
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction—0
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation—0
Quantifying the Ease of Reproducing Training Data in Unconditional Diffusion Models—0
LoTUS: Large-Scale Machine Unlearning with a Taste of UncertaintyCode1
PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative ModelsCode0
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them—0
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
BLIA: Detect model memorization in binary classification model through passive Label Inference attack—0
Empirical Privacy Variance—0
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders—0
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation—0
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond—0
Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive LearningCode0
Privacy Auditing of Large Language Models—0
Mitigating Memorization in LLMs using Activation Steering—0
CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation—0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets—0
Robust Data Watermarking in Language Models by Injecting Fictitious KnowledgeCode0
Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions—0
Privacy-Preserving Fair Synthetic Tabular Data—0
Superficial Self-Improved Reasoners Benefit from Model Merging—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