SOTAVerified

Memorization

Papers

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Showing 151–175 of 1088 papers

TitleStatusHype
The Vendiscope: An Algorithmic Microscope For Data Collections—0
Redistribute Ensemble Training for Mitigating Memorization in Diffusion ModelsCode0
Diffusing DeBias: a Recipe for Turning a Bug into a Feature—0
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept UnderstandingCode0
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers—0
Captured by Captions: On Memorization and its Mitigation in CLIP Models—0
The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray GenerationCode0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning—0
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMsCode1
A Lightweight Method to Disrupt Memorized Sequences in LLM—0
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization—0
LIMO: Less is More for ReasoningCode5
An Analysis for Reasoning Bias of Language Models with Small Initialization—0
TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues—0
Compositional Generalization Requires More Than Disentangled Representations—0
Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation—0
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction—0
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning—0
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training—0
Memorization and Regularization in Generative Diffusion ModelsCode0
Decoding Generalization from Memorization in Deep Neural Networks—0
On the Reasoning Capacity of AI Models and How to Quantify It—0
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation—0
Test-time regression: a unifying framework for designing sequence models with associative memory—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