SOTAVerified

Memorization

Papers

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Showing 501–525 of 1088 papers

TitleStatusHype
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
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
Detection and Measurement of Syntactic Templates in Generated Text—0
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
modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models—0
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction—0
Scaling Laws for Fact Memorization of Large Language Models—0
Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier AI Models—0
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning—0
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models—0
Jogging the Memory of Unlearned LLMs Through Targeted Relearning AttacksCode0
Unmasking the Veil: An Investigation into Concept Ablation for Privacy and Copyright Protection in ImagesCode0
Extracting Training Data from Unconditional Diffusion Models—0
Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3Code0
Measuring memorization in RLHF for code completion—0
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale—0
Diffusion Soup: Model Merging for Text-to-Image Diffusion 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