BAS-OPD: Budget-Aware Selective On-Policy Self-Distillation for Fine-Grained Multimodal Perception
cs.CV, cs.AI
Submitted: 2026-09-22
Updated: 2026-09-22
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
- Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Self-Distillation Enables Continual Learning
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
- Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
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