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Memorization

Papers

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Showing 151–200 of 1088 papers

TitleStatusHype
The Vendiscope: An Algorithmic Microscope For Data Collections—0
Diffusing DeBias: a Recipe for Turning a Bug into a Feature—0
Redistribute Ensemble Training for Mitigating Memorization in Diffusion ModelsCode0
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept UnderstandingCode0
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers—0
Captured by Captions: On Memorization and its Mitigation in CLIP Models—0
The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray GenerationCode0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning—0
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMsCode1
A Lightweight Method to Disrupt Memorized Sequences in LLM—0
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization—0
LIMO: Less is More for ReasoningCode5
An Analysis for Reasoning Bias of Language Models with Small Initialization—0
TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues—0
Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation—0
Compositional Generalization Requires More Than Disentangled Representations—0
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction—0
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training—0
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning—0
Memorization and Regularization in Generative Diffusion ModelsCode0
Decoding Generalization from Memorization in Deep Neural Networks—0
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation—0
On the Reasoning Capacity of AI Models and How to Quantify It—0
Test-time regression: a unifying framework for designing sequence models with associative memory—0
Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection—0
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation SpaceCode0
Enhancing Generalization in Chain of Thought Reasoning for Smaller Models—0
CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental LearningCode0
Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations—0
Analyzing Memorization in Large Language Models through the Lens of Model AttributionCode0
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of EventsCode0
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning—0
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models—0
Representation in large language models—0
Uncovering Memorization Effect in the Presence of Spurious Correlations—0
VideoChat-Flash: Hierarchical Compression for Long-Context Video ModelingCode4
Attributing Culture-Conditioned Generations to Pretraining CorporaCode0
Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries—0
The Impact of Input Order Bias on Large Language Models for Software Fault Localization—0
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Think or Remember? Detecting and Directing LLMs Towards Memorization or Generalization—0
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training LayersCode1
Accessing the topological properties of human brain functional sub-circuits in Echo State Networks—0
Memorization Over Reasoning? Exposing and Mitigating Verbatim Memorization in Large Language Models' Character Understanding Evaluation—0
Knowledge Boundary of Large Language Models: A Survey—0
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification—0
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data—0
Too Big to Fool: Resisting Deception in Language Models—0
The Complexity Dynamics of GrokkingCode1
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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