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alpha in state x then we end up in a state y which obeys formula psi”, and many more. The most common way to determine the true or false status of a given formula is to use the tableau method [1]. We have
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intelligence (XAI). This project will build on the methodology of formal explainable AI (FXAI) and aim at advancing FXAI technology and broadening its use by seeking (1) how to efficiently represent an AI system
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where the target person appears to be performing actions or speaking as the source person. In a broader...
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of mobile ringtones. Traditional machine learning methods and transformer models will be used to learn patterns from audio signals and classify ringtones into predefined categories (e.g., default ringtones
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the shortcomings of these techniques, deep learning is more and more involved in static vulnerability localization and improving fuzzing efficiency. This project aims to deliver a smart software vulnerability
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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Research Software Engineer Job No.: 683947 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $106,789 - $117,128 pa HEW Level 07 (plus 17% employer
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Maxwell King PhD Scholarship The Maxwell King Scholarship (MKS) is named after Professor Maxwell King, who has made an outstanding contribution to graduate research at Monash University, including
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Automated software testing and debugging with/without LLMs Primary supervisor Yongqiang Tian Research
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MD-PhD Industry Leaders Scholarship (for returning MD-PhD students) Industry Leaders Scholarship This scholarship is awarded to Monash University medical students who have demonstrated a commitment