ReCAP-8B

ReCAP-8B is a vision-language model fine-tuned from
Qwen/Qwen3-VL-8B-Thinking, designed to enable robust CAPTCHA solving within native GUI agents while preserving general GUI interaction capabilities.

This model is introduced in “CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training”.

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🚀 Overview

ReCAP-8B extends a general-purpose GUI agent with CAPTCHA-solving ability by learning from structured reasoning-action trajectories.

It operates end-to-end:

• Input: raw screenshots
• Output: reasoning + executable GUI actions (click, type, drag)

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✨ Key Features

• Unified agent: Handles both CAPTCHA and general GUI tasks
• Reasoning-action modeling: Learns both decisions and execution
• Self-correction: Improves robustness by learning from failures
• Efficient interaction: Generates multiple actions per step

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🧠 Capabilities

Supports diverse CAPTCHA types:

• Text / OCR
• Icon selection & matching
• Image grid reasoning
• Slider / drag tasks
• Multi-step interaction challenges

Core skills:

• Visual understanding
• Spatial reasoning
• Continuous control
• Multi-step planning

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📊 Performance

• ~71.9% success rate on synthetic CAPTCHA benchmark
• Strong improvements on interaction-heavy tasks (e.g., slider, image grid)
• Maintains competitive performance on general GUI benchmarks

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🔒 Ethical Considerations

This model is released for research purposes only.
It is intended to study and improve the robustness of human-verification systems, not to bypass them.