SOTAVerified

Memorization

Papers

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Showing 101–150 of 1088 papers

TitleStatusHype
COSMO: Combination of Selective Memorization for Low-cost Vision-and-Language Navigation—0
RARE: Retrieval-Augmented Reasoning ModelingCode2
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
LoTUS: Large-Scale Machine Unlearning with a Taste of UncertaintyCode1
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
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language ModelsCode0
Data Unlearning in Diffusion ModelsCode1
SolidMark: Evaluating Image Memorization in Generative ModelsCode0
Asynchronous Personalized Federated Learning through Global Memorization—0
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal—0
On the Interpolation Effect of Score Smoothing—0
On the Dichotomy Between Privacy and Traceability in _p Stochastic Convex Optimization—0
RELICT: A Replica Detection Framework for Medical Image GenerationCode0
Reasoning with Latent Thoughts: On the Power of Looped Transformers—0
IGDA: Interactive Graph Discovery through Large Language Model Agents—0
Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs—0
Interrogating LLM design under a fair learning doctrine—0
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models—0
Generative AI Training and Copyright Law—0
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model TrainingCode0
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models—0
LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning—0
Quantifying Memorization and Retriever Performance in Retrieval-Augmented Vision-Language Models—0
Pruning as a Defense: Reducing Memorization in Large Language Models—0
R.R.: Unveiling LLM Training Privacy through Recollection and RankingCode0
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks—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
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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