KOINEU

CAPTURE: A Benchmark and Evaluation for LVLMs in CAPTCHA Resolving

이 논문은 대형 시각 언어 모델(LVLM)을 평가하고 개선하기 위해 CAPTCHA 벤치마크인 CAPTURE를 제안합니다. 기존의 CAPTCHA 벤치마크는 특정 연구 목표에 맞춰 설계되어 있어, 모든 CAPTCHA 유형을 포괄하지 못하는 한계가 있었습니다. 이를 해결하기 위해 CAPTURE는 다양한 CAPTCHA 유형과 하위 유형을 포함하여 LVLM 성능을 다각도로 평가할 수 있도록 설계되었습니다. 실험 결과, 기존의 LVLM은 CAPTCHA를 해결하는 데에서 제약이 있었지만, CRRD 프레임워크를 통해 성능이 크게 향상되었습니다.

CAPTURE: A Benchmark and Evaluation for LVLMs in CAPTCHA Resolving

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