SOTAVerified

Memorization

Papers

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Showing 451–475 of 1088 papers

TitleStatusHype
CNTN: Cyclic Noise-tolerant Network for Gait Recognition—0
Learning sparsity in reservoir computing through a novel bio-inspired algorithm—0
CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation—0
Closed-Book Training to Improve Summarization Encoder Memory—0
A Lightweight Method to Disrupt Memorized Sequences in LLM—0
Accessing the topological properties of human brain functional sub-circuits in Echo State Networks—0
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level—0
Ethos: Rectifying Language Models in Orthogonal Parameter Space—0
Circuit-Based Intrinsic Methods to Detect Overfitting—0
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models—0
Entropy-Memorization Law: Evaluating Memorization Difficulty of Data in LLMs—0
Suppressing Model Overfitting for Image Super-Resolution Networks—0
EnronQA: Towards Personalized RAG over Private Documents—0
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models—0
Detecting Memorization in ReLU Networks—0
Koala: An Index for Quantifying Overlaps with Pre-training Corpora—0
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models—0
Arithmetic with Language Models: from Memorization to Computation—0
Large language models converge toward human-like concept organization—0
Large Language Models Could Be Rote Learners—0
Enhancing Generalization in Chain of Thought Reasoning for Smaller Models—0
Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark—0
Algebraic Machine Learning—0
Latent Geometry and Memorization in Generative Models—0
Learning Positional Embeddings for Coordinate-MLPs—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