SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 726–750 of 1088 papers

TitleStatusHype
When do you need Chain-of-Thought Prompting for ChatGPT?—0
Per-Example Gradient Regularization Improves Learning Signals from Noisy Data—0
Koala: An Index for Quantifying Overlaps with Pre-training Corpora—0
Memorization Capacity of Neural Networks with Conditional Computation—0
Query2doc: Query Expansion with Large Language Models—0
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level—0
Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes—0
Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant SupervisionCode0
Semiparametric Language Models Are Scalable Continual Learners—0
The (ab)use of Open Source Code to Train Large Language ModelsCode0
Data-Copying in Generative Models: A Formal Framework—0
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structureCode0
Federated Nearest Neighbor Machine Translation—0
Dynamic Named Entity RecognitionCode0
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge—0
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization—0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—0
ResMem: Learn what you can and memorize the rest—0
Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data—0
Validation of machine learning based scenario generators—0
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield EnergyCode0
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative ModelsCode0
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels—0
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image RetrievalCode0
Holistic Label Correction for Noisy Multi-Label ClassificationCode0
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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