MASS

Sakana AI researchers introduced Multi-Agent Self-Supervision (MASS), a method that uses a single language model as executor, workflow optimizer, and evaluator to generate a self-supervision signal fo…

Researchers propose MASS, a hierarchical data selection method that uses manifold coverage and sparse feature coverage to improve LLM post-training efficiency. In experiments on Vision Flan and LLaVA-…