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 2650 of 308 papers

TitleStatusHype
LLMaAA: Making Large Language Models as Active AnnotatorsCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation MapCode1
Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisCode1
PADetBench: Towards Benchmarking Physical Attacks against Object DetectionCode1
Improving Paraphrase Detection with the Adversarial Paraphrasing TaskCode1
Global Tensor Motion PlanningCode1
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsCode1
Forcing Diffuse Distributions out of Language ModelsCode1
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksCode1
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
Automated Multi-level Preference for MLLMsCode1
Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph EngineeringCode1
Faithful Persona-based Conversational Dataset Generation with Large Language ModelsCode1
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerCode1
ColabSfM: Collaborative Structure-from-Motion by Point Cloud RegistrationCode1
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content ModerationCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
Detecting Anti-Vaccine Users on TwitterCode1
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
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