πArXiv AIβ’Stalecollected in 22h
VESPO Stabilizes Off-Policy LLM Training
β‘ 30-Second TL;DR
What Changed
Variance reduction via variational formulation
Why It Matters
Enables reliable scaling of RL training for LLMs, supporting larger models and distributed setups. Consistent gains across dense and MoE architectures.
What To Do Next
Prioritize whether this update affects your current workflow this week.
Who should care:Researchers & Academics
Key Points
- β’Variance reduction via variational formulation
- β’Handles async and stale policies
- β’Code on GitHub
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Original source: ArXiv AI β
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