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
Chip Placement with Diffusion ModelsCode1
TheoremLlama: Transforming General-Purpose LLMs into Lean4 ExpertsCode1
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and DesignCode1
Automated Multi-level Preference for MLLMsCode1
Forcing Diffuse Distributions out of Language ModelsCode1
UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial ImageryCode1
PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset GenerationCode1
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
Faithful Persona-based Conversational Dataset Generation with Large Language ModelsCode1
LLMaAA: Making Large Language Models as Active AnnotatorsCode1
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