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 91100 of 308 papers

TitleStatusHype
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection0
FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs0
Pseudo Dataset Generation for Out-of-Domain Multi-Camera View Recommendation0
Anchored Alignment for Self-Explanations Enhancement0
Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations0
EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes0
Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient ConstraintsCode0
Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation0
Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors0
Show:102550
← PrevPage 10 of 31Next →

No leaderboard results yet.