In the news
Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- Researchers found that each domain has an optimal data allocation band of 10-40% during mid-training, and alignment cannot fix suboptimal domain composition choices.
- Why it matters
- Engineers designing multi-domain training pipelines need to know that data composition decisions made during mid-training are largely irreversible by later alignment.
- Watch out
- Study uses logical reasoning tasks on one model size; results may not generalize to other domains, model scales, or real-world training scenarios.
- reasoning
- rag
- qwen
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