The authors generated 50,000 puzzles spanning 20 CAPTCHA types and five modes: single-click, multi-click, arrow-cycle, real-time interaction and text entry.
Fine-Grained Training Data Improves Agents on Interactive CAPTCHA Tasks
A 50,000-puzzle dataset with executable trajectories trained one 9B policy to handle 20 CAPTCHA types across five interaction modes.
Top University
Zhenhao Zhang · Zhaoyu Fan · Haohan Ying · Jingwen Hu · Hancen Fan · Junhao Zhou · +2 more
Columbia University · Zhejiang University · University of Rochester · University of Illinois at Urbana-Champaign
Research Digest··2 min read
Zhang et al.
Why this paper
From Columbia University and 3 others · Released code
In one line
CaptchaArena supplies 50,000 execution-verified interactive CAPTCHA puzzles across 20 types, and CaptchaAgent trained on it reaches 71.7 Pass@1.
What it released
Code
What we could check
- ✓Code link in the paper (github.com)
- ·No weights link found
- ·No dataset link found
- ✓Compute or model size stated (params 9B)
- ·No stated limitations found
- ✓Reports numbers on named benchmarks
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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