REDUCING DOOM LOOPS WITH FINAL TOKEN PREFERENCE OPTIMIZATION

Summary from the TLDR AI newsletter

Repetitive degeneration is a common failure mode during inference. Antidoom training is a technique that repairs the degenerative repetitive behavior commonly seen after training. It selectively targets the problematic tokens that begin loops to achieve the near-complete elimination of repetitive loops.