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VESPO Stabilizes Off-Policy LLM Training

VESPO Stabilizes Off-Policy LLM Training
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πŸ“„Read original on ArXiv AI

⚑ 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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