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 141150 of 308 papers

TitleStatusHype
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website DetectionCode0
LoFT: LoRA-fused Training Dataset Generation with Few-shot GuidanceCode0
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer0
Generating Synthetic Ground Truth Distributions for Multi-step Trajectory Prediction using Probabilistic Composite Bézier Curves0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
A systematic dataset generation technique applied to data-driven automotive aerodynamics0
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation0
Channel Modeling Aided Dataset Generation for AI-Enabled CSI Feedback: Advances, Challenges, and Solutions0
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation0
CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking0
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