Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
Fuente:
arXiv
Guardado en:
| Autores principales: | Guo, Xu, Chen, Yiqiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
por: Apellániz, Patricia A., et al.
Publicado: (2024)
por: Apellániz, Patricia A., et al.
Publicado: (2024)
Fanar: An Arabic-Centric Multimodal Generative AI Platform
por: Fanar Team, et al.
Publicado: (2025)
por: Fanar Team, et al.
Publicado: (2025)
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2024)
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2024)
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
por: Muñoz, J. Pablo, et al.
Publicado: (2025)
por: Muñoz, J. Pablo, et al.
Publicado: (2025)
Synthetic Tabular Data Validation: A Divergence-Based Approach
por: Apellániz, Patricia A., et al.
Publicado: (2024)
por: Apellániz, Patricia A., et al.
Publicado: (2024)
Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
por: Ackermann, Richard, et al.
Publicado: (2025)
por: Ackermann, Richard, et al.
Publicado: (2025)
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
por: Xiao, Zikai, et al.
Publicado: (2024)
por: Xiao, Zikai, et al.
Publicado: (2024)
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2024)
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2024)
ALISON: Fast and Effective Stylometric Authorship Obfuscation
por: Xing, Eric, et al.
Publicado: (2024)
por: Xing, Eric, et al.
Publicado: (2024)
ACCORD: Closing the Commonsense Measurability Gap
por: Roewer-Després, François, et al.
Publicado: (2024)
por: Roewer-Després, François, et al.
Publicado: (2024)
Enhancing Transformer RNNs with Multiple Temporal Perspectives
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2024)
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2024)
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2025)
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2025)
Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
por: Goldstein, Daniel, et al.
Publicado: (2026)
por: Goldstein, Daniel, et al.
Publicado: (2026)
NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
por: Saito, Kei
Publicado: (2025)
por: Saito, Kei
Publicado: (2025)
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2025)
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2025)
NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
por: Saito, Kei
Publicado: (2026)
por: Saito, Kei
Publicado: (2026)
RWKV-7 "Goose" with Expressive Dynamic State Evolution
por: Peng, Bo, et al.
Publicado: (2025)
por: Peng, Bo, et al.
Publicado: (2025)
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal
por: Jiang, Weipeng, et al.
Publicado: (2025)
por: Jiang, Weipeng, et al.
Publicado: (2025)
From Days to Minutes: An Autonomous AI Agent Achieves Reliable Clinical Triage in Remote Patient Monitoring
por: Kim, Seunghwan, et al.
Publicado: (2026)
por: Kim, Seunghwan, et al.
Publicado: (2026)
Towards Measuring Goal-Directedness in AI Systems
por: Xu, Dylan, et al.
Publicado: (2024)
por: Xu, Dylan, et al.
Publicado: (2024)
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
por: Zhang, Jiaxing, et al.
Publicado: (2023)
por: Zhang, Jiaxing, et al.
Publicado: (2023)
Synthetic Data Augmentation for Medical Audio Classification: A Preliminary Evaluation
por: McShannon, David, et al.
Publicado: (2026)
por: McShannon, David, et al.
Publicado: (2026)
The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis
por: Zhang, Di
Publicado: (2026)
por: Zhang, Di
Publicado: (2026)
A Data-Driven Framework for Digital Transformation in Smart Cities: Integrating AI, Dashboards, and IoT Readiness
por: Lloret, Ángel, et al.
Publicado: (2025)
por: Lloret, Ángel, et al.
Publicado: (2025)
Beyond Direct Generation: A Decomposed Approach to Well-Crafted Screenwriting with LLMs
por: Lei, Hang, et al.
Publicado: (2025)
por: Lei, Hang, et al.
Publicado: (2025)
Rewarding Creativity: A Human-Aligned Generative Reward Model for Reinforcement Learning in Storytelling
por: Li, Zhaoyan, et al.
Publicado: (2026)
por: Li, Zhaoyan, et al.
Publicado: (2026)
ConCISE: A Reference-Free Conciseness Evaluation Metric for LLM-Generated Answers
por: Ghafari, Seyed Mohssen, et al.
Publicado: (2025)
por: Ghafari, Seyed Mohssen, et al.
Publicado: (2025)
Deceptive Diffusion: Generating Synthetic Adversarial Examples
por: Beerens, Lucas, et al.
Publicado: (2024)
por: Beerens, Lucas, et al.
Publicado: (2024)
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
por: Lyu, Hyeonsu, et al.
Publicado: (2023)
por: Lyu, Hyeonsu, et al.
Publicado: (2023)
The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior
por: Gonzalez, Laura Gomezjurado
Publicado: (2026)
por: Gonzalez, Laura Gomezjurado
Publicado: (2026)
Graph Language Models
por: Plenz, Moritz, et al.
Publicado: (2024)
por: Plenz, Moritz, et al.
Publicado: (2024)
Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
por: Kaplanski, Pawel
Publicado: (2026)
por: Kaplanski, Pawel
Publicado: (2026)
Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
por: Vegner, Ivan, et al.
Publicado: (2025)
por: Vegner, Ivan, et al.
Publicado: (2025)
The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
por: Baxi, Rahul
Publicado: (2025)
por: Baxi, Rahul
Publicado: (2025)
Navigating Ethical Challenges in Generative AI-Enhanced Research: The ETHICAL Framework for Responsible Generative AI Use
por: Eacersall, Douglas, et al.
Publicado: (2024)
por: Eacersall, Douglas, et al.
Publicado: (2024)
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
por: Sharma, Kartik, et al.
Publicado: (2024)
por: Sharma, Kartik, et al.
Publicado: (2024)
Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models
por: Liu, Yiheng, et al.
Publicado: (2025)
por: Liu, Yiheng, et al.
Publicado: (2025)
A Framework for Responsible AI Systems: Building Societal Trust through Domain Definition, Trustworthy AI Design, Auditability, Accountability, and Governance
por: Herrera-Poyatos, Andrés, et al.
Publicado: (2025)
por: Herrera-Poyatos, Andrés, et al.
Publicado: (2025)
Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
por: Rosales, Rafael, et al.
Publicado: (2025)
por: Rosales, Rafael, et al.
Publicado: (2025)
Position: Mechanistic Interpretability Must Disclose Identification Assumptions for Causal Claims
por: Lin, Zezheng, et al.
Publicado: (2026)
por: Lin, Zezheng, et al.
Publicado: (2026)
Ejemplares similares
-
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
por: Apellániz, Patricia A., et al.
Publicado: (2024) -
Fanar: An Arabic-Centric Multimodal Generative AI Platform
por: Fanar Team, et al.
Publicado: (2025) -
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
por: Dumitru, Razvan-Gabriel, et al.
Publicado: (2024) -
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
por: Muñoz, J. Pablo, et al.
Publicado: (2025) -
Synthetic Tabular Data Validation: A Divergence-Based Approach
por: Apellániz, Patricia A., et al.
Publicado: (2024)