Tag
The paper introduces Embed-TTT, a two-step test-time training protocol that improves rule induction in ARC-like tasks by first finetuning task embeddings and then the backbone, leading to better alignment with underlying rules and enhanced performance on benchmarks like ARC-AGI-1 and ConceptARC.