SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–875 of 1088 papers

TitleStatusHype
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization—0
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning—0
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity—0
FLM-101B: An Open LLM and How to Train It with $100K Budget—0
A solvable generative model with a linear, one-step denoiser—0
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning—0
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments—0
Generalizability of Memorization Neural Networks—0
Generalization and Memorization: The Bias Potential Model—0
Generalization Error of GAN from the Discriminator's Perspective—0
Generalization vs. Memorization in the Presence of Statistical Biases in Transformers—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
Generalized Holographic Reduced Representations—0
Generation or Replication: Auscultating Audio Latent Diffusion Models—0
PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network—0
Generative AI Training and Copyright Law—0
Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks—0
Geometry of Neural Network Loss Surfaces via Random Matrix Theory—0
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization—0
GP-MoLFormer: A Foundation Model For Molecular Generation—0
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks—0
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective—0
Grokking as Compression: A Nonlinear Complexity Perspective—0
Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding—0
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers—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