Self-Evolving Visual Agent via Margin Reward
cs.AI
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/YWenxi/marvo
Sources
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning
- Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation
- Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
- We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains
- A Survey on Self-Evolution of Large Language Models
- Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
- Self-Rewarding Language Models
- Dr. Zero: Self-Evolving Search Agents without Training Data
- PyVision: Agentic Vision with Dynamic Tooling
- PyVision-RL: Forging Open Agentic Vision Models via RL
- Group Sequence Policy Optimization
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