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Sharpness-Aware Data Generation for Zero-shot Quantization
Arxiv
0+阅读 · 10月8日
Learning where to learn: Training data distribution optimization for scientific machine learning
Arxiv
0+阅读 · 10月8日
Large-Scale Training Data Attribution for Music Generative Models via Unlearning
Arxiv
0+阅读 · 10月7日
Aneurysm Growth Time Series Reconstruction Using Physics-informed Autoencoder
Arxiv
0+阅读 · 10月5日
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
Arxiv
0+阅读 · 10月7日
Domain Generalization: A Tale of Two ERMs
Arxiv
0+阅读 · 10月6日
Do LLMs Align with My Task? Evaluating Text-to-SQL via Dataset Alignment
Arxiv
0+阅读 · 10月6日
Understanding the Role of Training Data in Test-Time Scaling
Arxiv
0+阅读 · 10月4日
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
Arxiv
0+阅读 · 10月4日
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Arxiv
0+阅读 · 10月5日
Watch and Learn: Learning to Use Computers from Online Videos
Arxiv
0+阅读 · 10月6日
Backdoors in Code Summarizers: How Bad Is It?
Arxiv
0+阅读 · 10月4日
Can We Infer Confidential Properties of Training Data from LLMs?
Arxiv
0+阅读 · 10月6日
LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
Arxiv
0+阅读 · 10月5日
Learning to Weight Parameters for Training Data Attribution
Arxiv
0+阅读 · 10月2日
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