SOTAVerified

Memorization

Papers

Showing 251275 of 1088 papers

TitleStatusHype
Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training0
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models0
Sudoku-Bench: Evaluating creative reasoning with Sudoku variantsCode0
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs0
Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge0
Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with Knowledge Graphs0
Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities0
SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach0
Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability0
Fragments to Facts: Partial-Information Fragment Inference from LLMsCode0
Causal Cartographer: From Mapping to Reasoning Over Counterfactual WorldsCode0
Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks0
Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It TeachesCode0
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge InjectionCode0
Extracting memorized pieces of (copyrighted) books from open-weight language models0
PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMsCode0
Is Grokking a Computational Glass Relaxation?0
Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context LearningCode0
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1MCode0
Identifying Memorization of Diffusion Models through p-Laplace AnalysisCode0
Memorization-Compression Cycles Improve Generalization0
Enfoque Odychess: Un método dialéctico, constructivista y adaptativo para la enseñanza del ajedrez con inteligencias artificiales generativas0
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)0
Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy95.4Unverified
2Gopher-280B (few-shot, k=5)Accuracy80Unverified
3PaLM-62B (few-shot, k=5)Accuracy77.7Unverified