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ai4ai 1evolutionary search 1machine learning engineering 1meta-learning 1recursive self-improvement 1reinforcement learning 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.CL2026

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

Junlin Yang, Che Jiang, Yu Fu +21

The paper presents Frontis-MA1, a 35‑billion‑parameter model trained as a meta‑evolution agent for machine learning engineering, using a new OpenMLE stack that combines operator le…