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
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
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources0
Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Label Text-Based Classification0
Generating Synthetic Ground Truth Distributions for Multi-step Trajectory Prediction using Probabilistic Composite Bézier Curves0
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations0
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation0
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs0
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness0
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