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Evidence record 579 · automatically gathered

NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research

Post-training alignment determines the reasoning and human preference following capabilities of large language models, yet most existing works withhold detailed data construction, filtering rules and training recipes, which hinders community reproducibility and lightweight model optimization. This work presents NebulaExp, a fully transparent, ablation-driven post-training pipeline built on Qwen3-8B-base, covering two orthogonal model branches: general instruct model and complex reasoning-special

Record details

Published: 25 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

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How to cite this record

ethics.ai (25 June 2026), “NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research,” evidence record 579, https://ethics.ai/record/579 (originally published by arXiv).

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