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Synthetic Data Generation
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The generation of tabular data by any means possible.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RE
SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
PuckTrick: A Library for Making Synthetic Data More Realistic
RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models
Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation
An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences
Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation
The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
Private Evolution Converges
Spatiotemporal deep learning models for detection of rapid intensification in cyclones
Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques
SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models
Synthetic Tabular Data: Methods, Attacks and Defenses
SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms
Gen-n-Val: Agentic Image Data Generation and Validation
Synthetic Dataset Generation for Autonomous Mobile Robots Using 3D Gaussian Splatting for Vision Training
Does Prompt Design Impact Quality of Data Imputation by LLMs?
BEAR: BGP Event Analysis and Reporting
Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
Corrigibility as a Singular Target: A Vision for Inherently Reliable Foundation Models
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions
Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation
VietMix: A Naturally Occurring Vietnamese-English Code-Mixed Corpus with Iterative Augmentation for Machine Translation
Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection
StressTest: Can YOUR Speech LM Handle the Stress?
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.