SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 1088 papers

TitleStatusHype
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use—0
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction—0
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning—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
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
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
Robust Data Watermarking in Language Models by Injecting Fictitious KnowledgeCode0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets—0
Privacy-Preserving Fair Synthetic Tabular Data—0
Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions—0
Superficial Self-Improved Reasoners Benefit from Model Merging—0
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language ModelsCode0
Asynchronous Personalized Federated Learning through Global Memorization—0
SolidMark: Evaluating Image Memorization in Generative ModelsCode0
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal—0
On the Interpolation Effect of Score Smoothing—0
IGDA: Interactive Graph Discovery through Large Language Model Agents—0
Reasoning with Latent Thoughts: On the Power of Looped Transformers—0
RELICT: A Replica Detection Framework for Medical Image GenerationCode0
On the Dichotomy Between Privacy and Traceability in _p Stochastic Convex Optimization—0
Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs—0
Interrogating LLM design under a fair learning doctrine—0
Generative AI Training and Copyright Law—0
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model TrainingCode0
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models—0
LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning—0
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models—0
Quantifying Memorization and Retriever Performance in Retrieval-Augmented Vision-Language Models—0
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks—0
R.R.: Unveiling LLM Training Privacy through Recollection and RankingCode0
Pruning as a Defense: Reducing Memorization in Large Language Models—0
Rethinking Benign Overfitting in Two-Layer Neural Networks—0
Continual Learning Should Move Beyond Incremental Classification—0
Logarithmic Width Suffices for Robust Memorization—0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification—0
The Vendiscope: An Algorithmic Microscope For Data Collections—0
Diffusing DeBias: a Recipe for Turning a Bug into a Feature—0
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept UnderstandingCode0
Redistribute Ensemble Training for Mitigating Memorization in Diffusion ModelsCode0
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers—0
Show:102550
← PrevPage 7 of 22Next →

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