Parallel Power Tempering Pushes 9B Models Near GPT-5 Without RL

A paper from a Morgan Stanley team proposes Parallel Power Tempering (PPT), an inference-time sampling method requiring no parameter updates or external rewards. It enables a 9B model to approach frontier models like GPT-5, offering an alternative to RL post-training.

2026-10-01 ~ 2026-10-02 · 2 related posts

• Paper claims 9B model can reach frontier reasoning via Parallel Power Tempering sampling, no RL post-training — dwgreyman · 2026-10-01
• Morgan Stanley's Parallel Power Tempering sampling rivals RL post-training without weight updates — morganstanley · 2026-10-02