LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models

Benchmark Model Rank Results
common-sense-reasoning-on-arc-easyPhi-4 (14B) with LoopUS#14Accuracy: 83.5
common-sense-reasoning-on-winograndePhi-4 (14B) with LoopUS#42Accuracy: 77.5
question-answering-on-piqaPhi-4 (14B) with LoopUS#43Accuracy: 81.8
language-modelling-on-lambadaPhi-4 (14B) with LoopUS#75Perplexity: 3.49
sentence-completion-on-hellaswagPhi-4 (14B) with LoopUS#149Accuracy: 60.58