Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper
• 2506.19290 • Published
• 53
Data
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Data Efficacy for Language Model Training
Paper • 2506.21545 • Published • 11 -
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 53 -
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
Paper • 2507.03253 • Published • 19 -
Scaling Laws for Optimal Data Mixtures
Paper • 2507.09404 • Published • 37 -
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Paper • 2507.16746 • Published • 34 -
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
Paper • 2508.10975 • Published • 60 -
TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training
Paper • 2508.17677 • Published • 14 -
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
Paper • 2509.11362 • Published • 5 -
OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
Paper • 2509.24900 • Published • 53 -
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
Paper • 2512.16676 • Published • 219 -
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
Paper • 2601.17058 • Published • 188 -
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
Paper • 2602.05400 • Published • 335 -
DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning
Paper • 2602.16742 • Published • 7