SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 376–400 of 822 papers

TitleStatusHype
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection—0
CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection—0
TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMsCode0
LLM-based Code-Switched Text Generation for Grammatical Error Correction—0
DFIMat: Decoupled Flexible Interactive Matting in Multi-Person ScenariosCode0
Driving Privacy Forward: Mitigating Information Leakage within Smart Vehicles through Synthetic Data GenerationCode0
JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensembles—0
SimpleStrat: Diversifying Language Model Generation with Stratification—0
Unsupervised Data Validation Methods for Efficient Model Training—0
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data—0
Privacy Vulnerabilities in Marginals-based Synthetic Data—0
Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck PerspectiveCode0
Targeted synthetic data generation for tabular data via hardness characterizationCode0
Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionCode0
Restoring Super-High Resolution GPS Mobility Data—0
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data GenerationCode0
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining—0
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs—0
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees—0
Artificial Data Point Generation in Clustered Latent Space for Small Medical Datasets—0
Preserving logical and functional dependencies in synthetic tabular dataCode0
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation—0
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All datasetsUCI Epileptic Seizure RecognitionUNSW-NB15

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1corGANAUROC0.92—Unverified
2GANAUROC0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1kiNETGANEMD0.07—Unverified
2CTGANEMD0.07—Unverified