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 151160 of 308 papers

TitleStatusHype
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems0
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models0
FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation0
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation0
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation0
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing0
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi0
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World0
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