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 6170 of 308 papers

TitleStatusHype
Chip Placement with Diffusion ModelsCode1
Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM EvaluationCode1
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
Faithful Persona-based Conversational Dataset Generation with Large Language ModelsCode1
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksCode1
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion ModelsCode1
ColabSfM: Collaborative Structure-from-Motion by Point Cloud RegistrationCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationCode1
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