SOTAVerified

Dataset Generation

The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.

Papers

Showing 8190 of 308 papers

TitleStatusHype
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems0
Global Tensor Motion PlanningCode1
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
Drone Detection using Deep Neural Networks Trained on Pure Synthetic DataCode0
Physics Informed Distillation for Diffusion ModelsCode2
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs0
HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere0
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models0
Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks0
Simulating User Agents for Embodied Conversational-AI0
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