SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 1088 papers

TitleStatusHype
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Extracting memorized pieces of (copyrighted) books from open-weight language models—0
FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past—0
FLM-101B: An Open LLM and How to Train It with $100K Budget—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Assessing Generalization in TD methods for Deep Reinforcement Learning—0
Expressive Power of ReLU and Step Networks under Floating-Point Operations—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
A solvable generative model with a linear, one-step denoiser—0
Attention Beats Concatenation for Conditioning Neural Fields—0
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey—0
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them—0
Co-matching: Combating Noisy Labels by Augmentation Anchoring—0
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments—0
Generalizability of Memorization Neural Networks—0
A Spline Theory of Deep Learning—0
Exploring prompts to elicit memorization in masked language model-based named entity recognition—0
Collectionless Artificial Intelligence—0
A Simple Model of Inference Scaling Laws—0
Exploring Memorization in Fine-tuned Language Models—0
Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability—0
Generalization vs. Memorization in the Presence of Statistical Biases in Transformers—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
Context-Aware Membership Inference Attacks against Pre-trained Large Language 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