SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 1088 papers

TitleStatusHype
Do LLMs Dream of Ontologies?Code0
Expressive Power of ReLU and Step Networks under Floating-Point Operations—0
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial TrainingCode0
Critical Data Size of Language Models from a Grokking Perspective—0
Understanding Learning through the Lens of Dynamical Invariants—0
Memorization in Self-Supervised Learning Improves Downstream GeneralizationCode0
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time SeriesCode0
A Good Score Does not Lead to A Good Generative ModelCode0
Learning with Structural Labels for Learning with Noisy Labels—0
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from GeneralizationCode0
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation—0
BloomVQA: Assessing Hierarchical Multi-modal Comprehension—0
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy LabelsCode0
Social Learning: Towards Collaborative Learning with Large Language Models—0
Lifted RDT based capacity analysis of the 1-hidden layer treelike sign perceptrons neural networks—0
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language ModelsCode0
SoK: Unintended Interactions among Machine Learning Defenses and RisksCode0
Understanding (Un)Intended Memorization in Text-to-Image Generative Models—0
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication—0
Scalable Extraction of Training Data from (Production) Language Models—0
Continual Referring Expression Comprehension via Dual Modular MemorizationCode0
Positional Description Matters for Transformers Arithmetic—0
CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection—0
Negotiated Representations for Machine Mearning ApplicationCode0
On Retrieval Augmentation and the Limitations of Language Model Training—0
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?—0
Fuse to Forget: Bias Reduction and Selective Memorization through Model FusionCode0
Minimum Description Length Hopfield NetworksCode0
Data Factors for Better Compositional GeneralizationCode0
Preserving Privacy in GANs Against Membership Inference Attack—0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of NetworksCode0
The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability—0
Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding—0
SoK: Memorization in General-Purpose Large Language Models—0
MoPe: Model Perturbation-based Privacy Attacks on Language Models—0
Implications of Annotation Artifacts in Edge Probing Test DatasetsCode0
Copyright Violations and Large Language ModelsCode0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Training Dynamics of Deep Network Linear Regions—0
Unintended Memorization in Large ASR Models, and How to Mitigate It—0
Generation or Replication: Auscultating Audio Latent Diffusion Models—0
Combating Label Noise With A General Surrogate Model For Sample Selection—0
On the Over-Memorization During Natural, Robust and Catastrophic OverfittingCode0
Why Train More? Effective and Efficient Membership Inference via Memorization—0
Exploring Memorization in Fine-tuned Language Models—0
What do larger image classifiers memorise?—0
Grokking as Compression: A Nonlinear Complexity Perspective—0
Probing Large Language Models from A Human Behavioral Perspective—0
Scaling Laws for Associative Memories—0
Show:102550
← PrevPage 13 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