PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data 事件

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data arXiv:2508.15180v3 Announce Type: replace Abstract: High-quality mathematical and logical datasets with verifiable answers are essential for strengthening the reasoning capabilities of large language models (LLMs). While recent data augmentation techniques have facilitated the creation of large-scale benchmarks, existing LLM-generated datasets often suffer from limited reliability, diversity, and scalability. To address these