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QVAC Genesis III

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RESEARCH · 1 SOURCE · arXiv cs.AI

QVAC Genesis III: 191.43B-token synthetic STEM corpus for efficient LM pre-training

An arXiv preprint introduces QVAC Genesis III, a 191.43B-token, multi-domain synthetic STEM corpus covering 19 domains and multiple difficulty/educational styles; it is generated via a dual teacher‑distillation strategy that uses a weak edge-scale student model to produce corrective explanations and contrastive option-level reasoning, and includes an LLM-as-a-parser evaluation protocol. Controlled from‑scratch experiments with 1.7B-parameter models show consistent improvements over the open synthetic corpus Cosmopedia-v2 and the public Cosmo-1B model on ARC, GPQA Diamond and MMLU STEM benchmarks (up to +28.57% on ARC-E and +21.35% on ARC-C), with Valid Answer Rates up to 99.45%.

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