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 121130 of 308 papers

TitleStatusHype
iTRI-QA: a Toolset for Customized Question-Answer Dataset Generation Using Language Models for Enhanced Scientific Research0
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic ExpressionsCode0
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing0
A Dataset Generation Toolbox for Dynamic Security Assessment: On the Role of the Security BoundaryCode0
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation0
Neural Error Covariance Estimation for Precise LiDAR Localization0
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI0
Low-Biased General Annotated Dataset Generation0
Movie2Story: A framework for understanding videos and telling stories in the form of novel text0
Cognition Chain for Explainable Psychological Stress Detection on Social MediaCode0
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