DataGen: Unified Synthetic Dataset Generation via Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Yue, Wu, Siyuan, Gao, Chujie, Chen, Dongping, Zhang, Qihui, Wan, Yao, Zhou, Tianyi, Gao, Jianfeng, Xiao, Chaowei, Sun, Lichao, Zhang, Xiangliang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HonestLLM: Toward an Honest and Helpful Large Language Model
by: Gao, Chujie, et al.
Published: (2024)
by: Gao, Chujie, et al.
Published: (2024)
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
by: Zhang, Qihui, et al.
Published: (2024)
by: Zhang, Qihui, et al.
Published: (2024)
Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings
by: Huang, Yue, et al.
Published: (2024)
by: Huang, Yue, et al.
Published: (2024)
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
by: Huang, Yue, et al.
Published: (2024)
by: Huang, Yue, et al.
Published: (2024)
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
by: Chen, Dongping, et al.
Published: (2024)
by: Chen, Dongping, et al.
Published: (2024)
Self-Cognition in Large Language Models: An Exploratory Study
by: Chen, Dongping, et al.
Published: (2024)
by: Chen, Dongping, et al.
Published: (2024)
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)
by: Chen, Dongping, et al.
Published: (2024)
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
by: Huang, Yue, et al.
Published: (2023)
by: Huang, Yue, et al.
Published: (2023)
Synthetic Interaction Data for Scalable Personalization in Large Language Models
by: Ma, Yuchen, et al.
Published: (2026)
by: Ma, Yuchen, et al.
Published: (2026)
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
by: Liu, Yixin, et al.
Published: (2024)
by: Liu, Yixin, et al.
Published: (2024)
I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench
by: Li, Yuan, et al.
Published: (2024)
by: Li, Yuan, et al.
Published: (2024)
Evaluating Large Language Models with Psychometrics
by: Li, Yuan, et al.
Published: (2024)
by: Li, Yuan, et al.
Published: (2024)
Watermarking Text Data on Large Language Models for Dataset Copyright
by: Liu, Yixin, et al.
Published: (2023)
by: Liu, Yixin, et al.
Published: (2023)
Prioritization First, Principles Second: An Adaptive Interpretation of Helpful, Honest, and Harmless Principles
by: Huang, Yue, et al.
Published: (2025)
by: Huang, Yue, et al.
Published: (2025)
Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
by: Wang, Yanbo, et al.
Published: (2025)
by: Wang, Yanbo, et al.
Published: (2025)
WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs
by: Gui, Yi, et al.
Published: (2024)
by: Gui, Yi, et al.
Published: (2024)
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
by: Huang, Yue, et al.
Published: (2023)
by: Huang, Yue, et al.
Published: (2023)
Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks
by: Dong, Peihao, et al.
Published: (2024)
by: Dong, Peihao, et al.
Published: (2024)
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
by: Zhang, Yaning, et al.
Published: (2024)
by: Zhang, Yaning, et al.
Published: (2024)
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
by: Zhang, Jingyi, et al.
Published: (2026)
by: Zhang, Jingyi, et al.
Published: (2026)
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom
by: Li, Yisen, et al.
Published: (2025)
by: Li, Yisen, et al.
Published: (2025)
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
by: Huang, Yue, et al.
Published: (2024)
by: Huang, Yue, et al.
Published: (2024)
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code
by: Guan, Batu, et al.
Published: (2024)
by: Guan, Batu, et al.
Published: (2024)
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
by: Gao, Lang, et al.
Published: (2024)
by: Gao, Lang, et al.
Published: (2024)
The Impact of Large Language Models in Academia: from Writing to Speaking
by: Geng, Mingmeng, et al.
Published: (2024)
by: Geng, Mingmeng, et al.
Published: (2024)
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
by: Ye, Jiayi, et al.
Published: (2024)
by: Ye, Jiayi, et al.
Published: (2024)
Better Datasets Start From RefineLab: Automatic Optimization for High-Quality Dataset Refinement
by: Luo, Xiaonan, et al.
Published: (2025)
by: Luo, Xiaonan, et al.
Published: (2025)
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
by: Ma, Yingzi, et al.
Published: (2024)
by: Ma, Yingzi, et al.
Published: (2024)
Optimizing Length Compression in Large Reasoning Models
by: Cheng, Zhengxiang, et al.
Published: (2025)
by: Cheng, Zhengxiang, et al.
Published: (2025)
EfficientLLM: Efficiency in Large Language Models
by: Yuan, Zhengqing, et al.
Published: (2025)
by: Yuan, Zhengqing, et al.
Published: (2025)
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
by: Bao, Han, et al.
Published: (2024)
by: Bao, Han, et al.
Published: (2024)
Collaborative Automatic Modulation Classification via Deep Edge Inference for Hierarchical Cognitive Radio Networks
by: He, Chaowei, et al.
Published: (2024)
by: He, Chaowei, et al.
Published: (2024)
MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming
by: Li, Yuan, et al.
Published: (2023)
by: Li, Yuan, et al.
Published: (2023)
SenWave: A Fine-Grained Multi-Language Sentiment Analysis Dataset Sourced from COVID-19 Tweets
by: Yang, Qiang, et al.
Published: (2025)
by: Yang, Qiang, et al.
Published: (2025)
ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind
by: Ma, Xiaomeng, et al.
Published: (2023)
by: Ma, Xiaomeng, et al.
Published: (2023)
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
by: Luo, Weidi, et al.
Published: (2024)
by: Luo, Weidi, et al.
Published: (2024)
AndroidGen: Building an Android Language Agent under Data Scarcity
by: Lai, Hanyu, et al.
Published: (2025)
by: Lai, Hanyu, et al.
Published: (2025)
code_transformed: The Influence of Large Language Models on Code
by: Xu, Yuliang, et al.
Published: (2025)
by: Xu, Yuliang, et al.
Published: (2025)
EgoGen: An Egocentric Synthetic Data Generator
by: Li, Gen, et al.
Published: (2024)
by: Li, Gen, et al.
Published: (2024)
Similar Items
-
HonestLLM: Toward an Honest and Helpful Large Language Model
by: Gao, Chujie, et al.
Published: (2024) -
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
by: Zhang, Qihui, et al.
Published: (2024) -
Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings
by: Huang, Yue, et al.
Published: (2024) -
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
by: Huang, Yue, et al.
Published: (2024) -
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
by: Li, Dawei, et al.
Published: (2025)