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Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic content across different formats like images, videos, and text.
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Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–21
JD Zamfirescu-Pereira, Richmond Y Wong, Bjoern Hartmann, and Qian Yang. 2023b · 2023
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Why Don’t You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation. In Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents . 29–37
Matteo Zaramella, Irene Amerini, and Paolo Russo. 2023 · 2023
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Text-to-image diffusion model in generative ai: A survey
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Mani-GPT: A Generative Model for Interactive Robotic Manipulation
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A survey of large language models
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Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–20
Jiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea G Parker, and Munmun De Choudhury. 2023 · 2023
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Vision+ Language Applications: A Survey. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 826–842
Yutong Zhou and Nobutaka Shimada. 2023 · 2023
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Automating GUI-based Software Testing with GPT-3. In 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) . IEEE, 62–65
Daniel Zimmermann and Anne Koziolek. 2023a · 2023
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GUI-Based Software Testing: An Automated Approach Using GPT-4 and Selenium WebDriver. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) . IEEE, 171–174
Daniel Zimmermann and Anne Koziolek. 2023b · 2023
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