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 261270 of 308 papers

TitleStatusHype
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments0
Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter0
Do Transformers Understand Polynomial Simplification?0
Synthetic data: How could it be used for infectious disease research?0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets0
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI0
EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes0
Anchored Alignment for Self-Explanations Enhancement0
Synthetic Dataset Generation for Autonomous Mobile Robots Using 3D Gaussian Splatting for Vision Training0
Estimating Commonsense Scene Composition on Belief Scene Graphs0
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