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 110 of 308 papers

TitleStatusHype
Vision Language Action Models in Robotic Manipulation: A Systematic ReviewCode2
Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano ThingsCode0
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation0
A large-scale, physically-based synthetic dataset for satellite pose estimation0
Enhancing Clinical Models with Pseudo Data for De-identificationCode0
Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting GarmentsCode1
Code Execution as Grounded Supervision for LLM ReasoningCode0
Hierarchical Lexical Graph for Enhanced Multi-Hop RetrievalCode3
MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal ReasoningCode1
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer0
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