WFGY 1.0 Dataset: A Self-Healing Semantic Framework for Large Language Models
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Description This dataset contains all supporting files required to reproduce the experiments described in the paper “WFGY 1.0: A Universal Unification Framework for Large-Scale Self-Healing LLMs”.It includes configuration files, code modules, manifest documents, evaluation scripts, and dependency setup for the four core modules of the WFGY framework: BBMC (Semantic Residue Calibration) BBPF (Multi-Path Progression) BBCR (Collapse–Rebirth Mechanism) BBAM (Attention Modulation) The dataset enables full reproducibility of the benchmark results across semantic accuracy, reasoning success, long-horizon stability, and cross-modal tasks. Keywords large language models, semantic alignment, multi-step reasoning, self-healing, BBMC, BBPF, BBCR, BBAM, reproducibility, AI architecture, WFGY PSBigBig (Independent Developer and Researcher) 📧 hello@onestardao.com 🌐 https://onestardao.com/papers 💻 https://github.com/onestardao/WFGY
