SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 1088 papers

TitleStatusHype
Computation with Sequences in a Model of the Brain—0
Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks—0
A Comparative Study of Reservoir Computing for Temporal Signal Processing—0
Extracting Unlearned Information from LLMs with Activation Steering—0
Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets—0
PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network—0
GP-MoLFormer: A Foundation Model For Molecular Generation—0
Extracting Training Data from Unconditional Diffusion Models—0
Extracting Training Data from Document-Based VQA Models—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Extreme Image Transformations Facilitate Robust Latent Object Representations—0
Compositional Generalization Requires More Than Disentangled Representations—0
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use—0
Extracting memorized pieces of (copyrighted) books from open-weight language models—0
Fast Parametric Learning with Activation Memorization—0
Fault-Diagnosing SLAM for Varying Scale Change Detection—0
Assessing Intelligence in Artificial Neural Networks—0
FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Assessing Generalization in TD methods for Deep Reinforcement Learning—0
Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing—0
Expressive Power of ReLU and Step Networks under Floating-Point Operations—0
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization—0
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning—0
Combating Label Noise With A General Surrogate Model For Sample Selection—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