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Introductory programming courses often emphasize mastering syntax and basic constructs before progressing to more complex and interesting programs. This bottom-up approach can be frustrating for novices, shifting the focus away from problem solving and ...

DNS over HTTPS (DoH) reduces the risk of privacy leakage of DNS queries, but it also provides a covert communication channel for malicious activities. In this paper, we propose a method for malicious encrypted traffic identification, which harnesses the ...

Following the recent release of AI assistants, such as OpenAI's ChatGPT and GitHub Copilot, the software industry quickly utilized these tools for software development tasks, e.g., generating code or consulting AI for advice. While recent research has ...

With the increasing prevalence of security incidents, the adoption of deception-based defense strategies has become pivotal in cybersecurity. This work addresses the challenge of scalability in designing honeytokens, a key component of such defense ...

Breast ultrasound plays a pivotal role in detecting and diagnosing breast abnormalities. Radiology reports summarize key findings from these examinations, highlighting lesion characteristics and malignancy assessments. However, extracting this critical ...

Extended Reality (XR), encompassing the concepts of augmented, virtual, and mixed reality, has the potential to offer unprecedented types of user interactions. An essential requirement is the automated understanding of a user's current scene, for ...

Visual Spatial Description (VSD) aims to generate texts that describe the spatial relationships between objects within images. Traditional visual spatial relationship classification (VSRC) methods typically output the spatial relationship between two ...

This paper investigates the factuality of large language models (LLMs) as knowledge bases in the legal domain, in a realistic usage scenario: we allow for acceptable variations in the answer, and let the model abstain from answering when uncertain. First,...

In real-world applications, users express different behaviors when they interact with different items, including implicit click/like interactions, and explicit comments/reviews interactions. Nevertheless, almost all recommender works are focused on how ...

Chemical reaction data has existed and still largely exists in unstructured forms. But curating such information into datasets suitable for tasks such as yield and reaction outcome prediction is impractical via manual curation and not possible to ...

Recommender system (RecSys) plays important roles in helping users navigate, discover, and consume massive and highly-dynamic information. Today, many RecSys solutions deployed in the real world rely on categorical user-profiles and/or pre-calculated ...

Large language models (LLMs) have transformed automated code generation. However, their high computational demands often lead to server overload and increased latency in SaaS deployments. To address this, we present SpeCoder, a framework that accelerates ...

In this paper, we try to show that by utilizing the temporal and context information in care record data in a well-guided manner, Large Language Models (LLMs) can help us correct the inaccurate and incomplete activity log. Nursing activity logs are ...

This demo presents a novel end-to-end framework that combines on-device large language models (LLMs) with smartphone sensing technologies to achieve context-aware and personalized services. The framework addresses critical limitations of current ...

The integration of Augmented Reality (AR) technology into surgical procedures offers significant potential to enhance clinical outcomes. Despite numerous lab-proven prototypes, deploying these systems in actual clinical settings demands specialized ...

Recent advanced AI technologies, especially large language models (LLMs) like GPTs, have significantly advanced the field of data mining and led to the development of various LLM-based applications. AI for education (AI4EDU) is a vibrant multi-...

Large Language Models (LLMs) have revolutionized the field of Natural Language Generation (NLG) by demonstrating an impressive ability to generate human-like text. However, their widespread usage introduces challenges that necessitate thoughtful ...

Reddit's mission is to bring community, belonging, and empowerment to everyone in the world. This hands-on tutorial explores the immense potential of Artificial Intelligence (AI) to improve accessibility to social media content for individuals with ...

Topic modeling is a technique for organizing and extracting themes from large collections of unstructured text. Non-negative matrix factorization (NMF) is a common unsupervised approach that decomposes a term frequency-inverse document frequency (TF-IDF) ...

Customer service is how companies interface with their customers. It can contribute heavily towards the overall customer satisfaction. However, high-quality service can become expensive, creating an incentive to make it as cost efficient as possible and ...