Program-Verified Self-Evolution for Vision-Language Models
cs.CV, cs.AI, cs.CL, cs.LG, cs.NE
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/ahmedheakl/VQS
Terminology
Sources
- Qwen3-VL Technical Report
- Multi-Agent Evolve: LLM Self-Improve through Co-evolution
- The Llama 3 Herd of Models
- The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering
- Can Large Reasoning Models Self-Train?
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Gemma 3 Technical Report
- EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards
- Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
- When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning
- LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
- Self-Rewarding Language Models
- ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
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