Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 20·5 min read
Governance Records as Supervision: Verifier-Selected Self-Training for Structured Workflow Repair
TL;DR
Governance records can effectively supervise self-training in structured workflow repair, leading to significant improvements in plan acceptance rates. The VAL verifier demonstrated a marked increase in successful plans from 1 to 57 across various cases.
✦ Why It Matters
Implement verifier-selected supervision to enhance the reliability of your machine learning models today.
Key Takeaways
- Utilize governance records for structured workflow supervision.
- Adopt verifier-selected methods to improve plan acceptance rates.
- Experiment with Qwen3-14B for enhanced workflow repair.
- Focus on bounded models for reliable execution outcomes.
How It Works
Governance records serve as a supervisory mechanism by linking task contracts, model attempts, and verifier decisions. This structured approach allows models to learn from validated outputs, enhancing their ability to generate acceptable plans without relying on stronger teachers or oracle targets.