Abstract
ATLAS (Adaptive Teaching and Learning Alignment System) is a hybrid reinforcement learning architecture that enhances language model performance through adaptive teaching protocols. The system implements a two-phase approach: diagnostic probing to assess student capability, followed by conditional teaching that provides targeted guidance. Through extensive evaluation on mathematical reasoning, code generation, and system reliability engineering tasks, ATLAS demonstrates:- 15.7% average accuracy improvement across diverse benchmarks
- 31% increase in task completion rates
- 97% non-degradation guarantee ensuring safe deployment
- 50% reduction in token usage through efficient teaching strategies
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Key Contributions
1. Adaptive Teaching Protocol
A two-pass inference mechanism that first diagnoses student capability (≤50 tokens) then provides calibrated guidance (≤200 tokens) based on the assessment.2. Hybrid Learning Architecture
Separation of expensive offline RL training from lightweight online optimization, enabling rapid adaptation at ~$10 per task domain.3. Compounding Intelligence
Demonstrated skill transfer across domains with up to 83% transfer efficiency, creating accumulating knowledge over time.4. Safety Guarantees
Zero-reward for performance degradation ensures 97% non-degradation rate in production deployments.Experimental Results
Performance Across Model Sizes
| Student Model | Size | Baseline | w/ ATLAS | Improvement |
|---|---|---|---|---|
| Qwen3-4B | 4B | 62.3% | 78.0% | +15.7% |
| Llama-3.1-8B | 8B | 71.2% | 85.4% | +14.2% |
| Mixtral-8x7B | 47B | 78.5% | 89.1% | +10.6% |
| GPT-4 | ~1.7T | 84.3% | 92.8% | +8.5% |
Domain-Specific Gains
- SRE Debugging: Systematic improvement in root cause analysis and reduced investigation time
- Mathematical Reasoning: 15.7% average gain
- Code Generation: 31% completion rate improvement
Citation
If you use ATLAS in your research, please cite:Related Work
The ATLAS framework builds on several foundational works:- GRPO (Group Relative Policy Optimization) for RL training
- GEPA (Genetic Prompt Evolution Algorithm) for online optimization
- Constitutional AI principles for safe deployment