Zobrazeno 1 - 10
of 32 460
pro vyhledávání: '"VISUAL PROGRAMMING"'
Recent advancements in large multimodal models (LMMs) have showcased impressive code generation capabilities, primarily evaluated through image-to-code benchmarks. However, these benchmarks are limited to specific visual programming scenarios where t
Externí odkaz:
http://arxiv.org/abs/2411.18932
Programming has become an essential component of K-12 education and serves as a pathway for developing computational thinking skills. Given the complexity of programming and the advanced skills it requires, previous research has introduced user-frien
Externí odkaz:
http://arxiv.org/abs/2412.09001
Autor:
Zhou, Enshen, Su, Qi, Chi, Cheng, Zhang, Zhizheng, Wang, Zhongyuan, Huang, Tiejun, Sheng, Lu, Wang, He
Automatic detection and prevention of open-set failures are crucial in closed-loop robotic systems. Recent studies often struggle to simultaneously identify unexpected failures reactively after they occur and prevent foreseeable ones proactively. To
Externí odkaz:
http://arxiv.org/abs/2412.04455
We explore the role of quizzes in elementary visual programming domains popularly used for K-8 computing education. Prior work has studied various quiz types, such as fill-in-the-gap write-code questions. However, the overall impact of these quizzes
Externí odkaz:
http://arxiv.org/abs/2411.14275
Autor:
Panagopoulou, Artemis, Zhou, Honglu, Savarese, Silvio, Xiong, Caiming, Callison-Burch, Chris, Yatskar, Mark, Niebles, Juan Carlos
Programming based approaches to reasoning tasks have substantially expanded the types of questions models can answer about visual scenes. Yet on benchmark visual reasoning data, when models answer correctly, they produce incorrect programs 33% of the
Externí odkaz:
http://arxiv.org/abs/2412.08859
Humans have the ability to reason about geometric patterns in images and scenes from a young age. However, developing large multimodal models (LMMs) capable of similar reasoning remains a challenge, highlighting the need for robust evaluation methods
Externí odkaz:
http://arxiv.org/abs/2411.00264
Large language and multimodal models have shown remarkable successes on various benchmarks focused on specific skills such as general-purpose programming, natural language understanding, math word problem-solving, and visual question answering. Howev
Externí odkaz:
http://arxiv.org/abs/2406.11334
Autor:
Feng, Guangxi, Yan, Wei
The integration of generative artificial intelligence (AI) into architectural design has witnessed a significant evolution, marked by the recent advancements in AI to generate text, images, and 3D models. However, no models exist for text-to-parametr
Externí odkaz:
http://arxiv.org/abs/2407.07732
Autor:
Akanda, Wahiduzzaman ⁎, Clause, James
Publikováno v:
In The Journal of Systems & Software April 2025 222
Generative models have demonstrated human-level proficiency in various benchmarks across domains like programming, natural sciences, and general knowledge. Despite these promising results on competitive benchmarks, they still struggle with seemingly
Externí odkaz:
http://arxiv.org/abs/2406.09891