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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 131140 of 308 papers

TitleStatusHype
Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets0
AutoCoder: Enhancing Code Large Language Model with AIEV-InstructCode4
Automated Multi-level Preference for MLLMsCode1
SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks0
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation0
Stable Diffusion Dataset Generation for Downstream Classification Tasks0
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset GenerationCode0
Generative Dataset Distillation: Balancing Global Structure and Local Details0
Better Synthetic Data by Retrieving and Transforming Existing DatasetsCode7
Forcing Diffuse Distributions out of Language ModelsCode1
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