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Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
Arxiv
0+阅读 · 10月22日
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
Arxiv
0+阅读 · 10月21日
PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection
Arxiv
0+阅读 · 10月15日
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
Arxiv
0+阅读 · 10月13日
LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs
Arxiv
0+阅读 · 10月13日
High-dimensional Analysis of Synthetic Data Selection
Arxiv
0+阅读 · 10月9日
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning
Arxiv
0+阅读 · 10月8日
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
Arxiv
0+阅读 · 10月8日
Influence Functions for Efficient Data Selection in Reasoning
Arxiv
0+阅读 · 10月7日
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
Arxiv
0+阅读 · 10月7日
Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
Arxiv
0+阅读 · 10月2日
Train on Validation (ToV): Fast data selection with applications to fine-tuning
Arxiv
0+阅读 · 10月1日
Data Uniformity Improves Training Efficiency and More, with a Convergence Framework Beyond the NTK Regime
Arxiv
0+阅读 · 9月29日
Annotation-Efficient Active Test-Time Adaptation with Conformal Prediction
Arxiv
0+阅读 · 9月30日
Data-Efficient Training by Evolved Sampling
Arxiv
0+阅读 · 9月27日
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