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 261270 of 308 papers

TitleStatusHype
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order FlippingCode0
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning BenchmarksCode0
Code Execution as Grounded Supervision for LLM ReasoningCode0
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender SystemsCode0
Geometric Generality of Transformer-Based Gröbner Basis ComputationCode0
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous ChangesCode0
Smart Home Appliances: Chat with Your FridgeCode0
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in ExplanationsCode0
Closing the Loop: A Framework for Trustworthy Machine Learning in Power SystemsCode0
The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset GenerationCode0
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