SOTAVerified

Memorization

Papers

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Showing 501–550 of 1088 papers

TitleStatusHype
Quantifying Memorization and Retriever Performance in Retrieval-Augmented Vision-Language Models—0
Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper—0
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks—0
Quantifying the Ease of Reproducing Training Data in Unconditional Diffusion Models—0
Query2doc: Query Expansion with Large Language Models—0
Generating Streamlining Constraints with Large Language Models—0
Reasoning, Memorization, and Fine-Tuning Language Models for Non-Cooperative Games—0
Reasoning with Latent Thoughts: On the Power of Looped Transformers—0
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation—0
Recurrent Neural Networks with External Memory for Language Understanding—0
Refining Source Representations with Relation Networks for Neural Machine Translation—0
Regularising Fisher Information Improves Cross-lingual Generalisation—0
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion—0
Remember the context! ASR slot error correction through memorization—0
Replicating ReLM Results: Validating Large Language Models with ReLM—0
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics—0
Representation in large language models—0
Representation Memorization for Fast Learning New Knowledge without Forgetting—0
ResMem: Learn what you can and memorize the rest—0
Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces—0
Restoring Gaussian Blurred Face Images for Deanonymization Attacks—0
Rethinking Benign Overfitting in Two-Layer Neural Networks—0
Rethinking LLM Memorization through the Lens of Adversarial Compression—0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification—0
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels—0
Revisiting Explicit Regularization in Neural Networks for Reliable Predictive Probability—0
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective—0
Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative—0
Robots and Children that Learn Together : Improving Knowledge Retention by Teaching Peer-Like Interactive Robots—0
Robust and On-the-fly Dataset Denoising for Image Classification—0
Robust early-learning: Hindering the memorization of noisy labels—0
Robust Noisy Correspondence Learning via Self-Drop and Dual-Weight—0
Robust Training with Ensemble Consensus—0
ROME: Memorization Insights from Text, Logits and Representation—0
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation—0
Same-different problems strain convolutional neural networks—0
Scalable Extraction of Training Data from (Production) Language Models—0
Scaling Laws and Interpretability of Learning from Repeated Data—0
Scaling Laws for Associative Memories—0
Scaling Laws for Fact Memorization of Large Language Models—0
Challenging Common Assumptions about Catastrophic Forgetting—0
Searching to Exploit Memorization Effect in Learning with Noisy Labels—0
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models—0
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models—0
Selective Memory Recursive Least Squares: Recast Forgetting into Memory in RBF Neural Network Based Real-Time Learning—0
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models—0
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies—0
Semantic Object Parsing with Local-Global Long Short-Term Memory—0
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management—0
Semiparametric Language Models Are Scalable Continual Learners—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