CMU and Oxford: Looping Hidden States Can Replace Long Chain-of-Thought

A CMU and Oxford paper shows models can 'think longer' by repeatedly refining hidden states instead of generating longer chains of thought, with loop-trained smaller models reaching 58.8% on ARC-AGI-1.

2026-09-18 ~ 2026-09-18 · 2 related posts

• CMU and Oxford paper: refining hidden state beats longer chain-of-thought for reasoning — rohanpaul_ai · 2026-09-18

1 near-duplicate retellings: rohanpaul_ai