FTPO

Empero AI released Qwythos-9B-v2, an update to its large language model that eliminates looping behavior during greedy decoding, reducing the looping rate from 6.7% to 0% using a technique called Fina…

Liquid AI open-sourced Antidoom, a Final Token Preference Optimization method that reduces doom loops in reasoning models by retraining only the first loop-start token. On LFM2.5-2.6B, looping fell fr…

Researchers at Liquid AI developed Antidoom, a method using Final Token Preference Optimization (FTPO) to reduce 'doom loops'—repetitive inference failures in small reasoning models—from 10.2% to 1.4%…