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Memorization

Papers

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Showing 301–350 of 1088 papers

TitleStatusHype
Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition—0
Understanding the Local Geometry of Generative Model Manifolds—0
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMsCode1
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization—0
Quantifying the Corpus Bias Problem in Automatic Music Transcription SystemsCode0
MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models—0
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond—0
Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language ModelsCode0
Human foraging strategies flexibly adapt to resource distribution and time constraints—0
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks—0
Detecting, Explaining, and Mitigating Memorization in Diffusion ModelsCode2
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens—0
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models—0
Strong Copyright Protection for Language Models via Adaptive Model Fusion—0
LLMs' Understanding of Natural Language Revealed—0
Towards Clean-Label Backdoor Attacks in the Physical WorldCode0
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks—0
Untrained neural networks can demonstrate memorization-independent abstract reasoningCode0
Demystifying Verbatim Memorization in Large Language ModelsCode0
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion ModelsCode1
Empirical Capacity Model for Self-Attention Neural Networks—0
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion ModelsCode0
Knowledge Mechanisms in Large Language Models: A Survey and Perspective—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
How to Engage Your Readers? Generating Guiding Questions to Promote Active ReadingCode0
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models—0
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law—0
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models—0
Learning Camouflaged Object Detection from Noisy Pseudo Label—0
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval—0
Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward LayersCode0
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment—0
Extracting Training Data from Document-Based VQA Models—0
MUSE: Machine Unlearning Six-Way Evaluation for Language ModelsCode4
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization—0
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding—0
Towards More Realistic Extraction Attacks: An Adversarial PerspectiveCode0
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy ReasoningCode1
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?Code2
Detection and Measurement of Syntactic Templates in Generated Text—0
Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge UtilizationCode1
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language ModelsCode1
Sonnet or Not, Bot? Poetry Evaluation for Large Models and DatasetsCode1
Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks—0
Enhancing Data Privacy in Large Language Models through Private Association Editing—0
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)Code1
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted PhenomenonCode1
AlleNoise: large-scale text classification benchmark dataset with real-world label noiseCode1
modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models—0
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction—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