Looped Transformers suffer "latent overthinking," paper finds

The InfiLoop paper shows looped Transformers, like reasoning LLMs, can "overthink": performance often degrades with more loops as computation continues after the answer converges. The team names this "latent overthinking" and proposes a fix.

2026-10-19 ~ 2026-10-19 · 2 related posts

• Looped Transformers 'overthink': InfiLoop paper shows loops keep burning compute after answers settle — jm_alexia · 2026-10-19
• Looped Transformers get worse with more loops: researchers name 'latent overthinking' and fix it with InfiLoop — KyeGomezB · 2026-10-19