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Memorization

Papers

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Showing 751–800 of 1088 papers

TitleStatusHype
Markov chain Hebbian learning algorithm with ternary synaptic units—0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence—0
MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models—0
Measures of Information Reflect Memorization Patterns—0
Measuring Forgetting of Memorized Training Examples—0
Measuring Memorization Effect in Word-Level Neural Networks Probing—0
Measuring memorization in RLHF for code completion—0
Measuring memorization through probabilistic discoverable extraction—0
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models—0
MediaEval 2018: Predicting Media Memorability Task—0
Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks—0
Membership Inference Attacks on Sequence Models—0
MemGEN: Memory is All You Need—0
MemHunter: Automated and Verifiable Memorization Detection at Dataset-scale in LLMs—0
ME-MOMENTUM: EXTRACTING HARD CONFIDENT EXAMPLES FROM NOISILY LABELED DATA—0
Memorization: A Close Look at Books—0
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization—0
Memorization Capacity of Neural Networks with Conditional Computation—0
Memorization-Compression Cycles Improve Generalization—0
Memorization in deep learning: A survey—0
Memorization in In-Context Learning—0
Memorization in Overparameterized Autoencoders—0
Memorization or Interpolation ? Detecting LLM Memorization through Input Perturbation Analysis—0
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs—0
Memorization Over Reasoning? Exposing and Mitigating Verbatim Memorization in Large Language Models' Character Understanding Evaluation—0
Memorization Through the Lens of Curvature of Loss Function Around Samples—0
Memorization to Generalization: Emergence of Diffusion Models from Associative Memory—0
Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation—0
Memorization vs. Reasoning: Updating LLMs with New Knowledge—0
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models—0
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction—0
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted—0
Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions—0
Memory Planning for Deep Neural Networks—0
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication—0
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data—0
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning—0
Minimizing Memorization in Meta-learning: A Causal Perspective—0
Mitigating Approximate Memorization in Language Models via Dissimilarity Learned Policy—0
Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges—0
Mitigating Memorization in LLMs using Activation Steering—0
Mitigating Memorization in Sample Selection for Learning with Noisy Labels—0
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning—0
Mitigating Unintended Memorization in Language Models via Alternating Teaching—0
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment—0
Mixture of Parrots: Experts improve memorization more than reasoning—0
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision—0
modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models—0
Modifying Memories in Transformer Models—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