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
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksCode1
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content ModerationCode1
Forcing Diffuse Distributions out of Language ModelsCode1
Automated Multi-level Preference for MLLMsCode1
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsCode1
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation MapCode1
Faithful Persona-based Conversational Dataset Generation with Large Language ModelsCode1
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
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