OPMD: On-Policy Mechanism Distillation Beyond Output Supervision
cs.LG, cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/project-numina/aimo-progress-prize
Terminology
Sources
- Program Synthesis with Large Language Models
- Eliciting Latent Predictions from Transformers with the Tuned Lens
- Evaluating Large Language Models Trained on Code
- The Llama 3 Herd of Models
- How to use and interpret activation patching
- Efficient Memory Management for Large Language Model Serving with PagedAttention
- PHF: Privileged Hidden Flow for On-Policy Self-Distillation
- Less is More: Task-aware Layer-wise Distillation for Language Model Compression
- Extremely Sparse Supervision Incentivizes Reasoning Ability
- Qwen2.5 Technical Report
- FitNets: Hints for Thin Deep Nets
- MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
- Qwen3 Technical Report
- OPRD: On-Policy Representation Distillation
- Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
- On-Policy Context Distillation for Language Models
- Adding Conditional Control to Text-to-Image Diffusion Models
- Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
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