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 3140 of 308 papers

TitleStatusHype
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments0
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language ModelsCode0
V^2R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations0
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World0
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering0
Geometric Generality of Transformer-Based Gröbner Basis ComputationCode0
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation0
Reasoning Inconsistencies and How to Mitigate Them in Deep Learning0
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation0
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation0
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