Self-Direction: Agents Learn from Failures by Distilling LoRA Corrections

A Princeton and Meta FAIR paper introduces Self-Direction, which lets agents reflect on failed trajectories and distill corrections into a tiny LoRA (0.02% of base model parameters), boosting GAIA success from 38.8% to 55.8%.

2026-10-30 ~ 2026-10-30 · 2 related posts

• Self-Direction turns agent mistakes into LoRA lessons, lifting GAIA success from 38.8% to 55.8% — rohanpaul_ai · 2026-10-30
• arXiv: Self-Directed Repair turns agent mistakes into lasting lessons — rohanpaul_ai · 2026-10-30