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Large Language Models (LLMs) are a new class of knowledge embodied in a computer and trained on massive amounts of human text, image, and video examples. As the result of a user prompt, these LLMs can generate generally coherent responses in several ...

Real-time delivery of captured optical surface materials has several uses, ranging from commercial showcasing of products, or product configurators, on the web, to dissemination of and research on cultural heritage by providing easy access to ...

This paper presents a customized and sustainable workflow for digital scholarly publications in the humanities that aims to overcome the difficulties of transitioning from traditional fixed formats to those that require fluid layout and structure, such ...

The history-based content present on Wikipedia has been used for various NLP-related research. For large-scale analysis, efficient retrieval of past states of Wikipedia is a prerequisite. However, the lack of efficient tools for managing the massive ...

Multilingual countries are made of communities with their own history and traditions that maintain their identity but, at the same time, have strong social interactions and exchanges. This paper proposes a particular perspective to look at these ...

This paper explores "digital gardening" as a form of feral hypertext and a network of practice for personal information organization. Through an examination of digital gardens in practice, we investigate the structure of conceptualization and the varied ...

Interactive stories can be an effective approach for teaching purposes. One shortcoming is the effort necessary to author and create these stories, especially complex storylines with choices for the readers. Based on recent advances in Natural Language ...

Web analytics tools like Google Analytics are widely available, but website owners outside the eCommerce sector struggle to extract actionable insights from their data to curate and optimize content. This difficulty often arises from challenges in ...

LIRAI is a workshop series on Legal Information Retrieval and Legal Artificial Intelligence. It provides a forum for discussing current trends and challenges in legal artificial intelligence, specifically related to the hypertext nature of legal ...

Systems services running at user level provide several benefits including execution isolation, flexible software development and fast device access. The FUSE framework adds backward compatibility to user-level filesystems but at a performance cost. We ...

Accurately and efficiently detecting plagiarism is a critical component of high-quality education. Many plagiarism detection algorithms are being invented and deployed, but these services often come at a significant cost due to their computational ...

Thanks to recent advances in high-bandwidth, low-latency interconnects, running a data-intensive application with a remote memory pool is now a feasibility. When developing a data-intensive application, a managed language such as Java is often the ...

The random write performance is critical for a wide range of applications in the cloud. To accelerate such applications, researchers have proposed to realize a log structure in the file system (e.g., F2FS) to support out-of-place updates, so that random ...

Serverless computing is changing the way in which we structure and deploy computations in Internet-scale edge systems. This paper presents Capybara, a new scalable and programmable distributed object store for storing and sharing serverless function data ...

Recent concurrency control protocols for database transactions employ priority control to deliver predictable latency. Conventional protocols either require complex data structures or provide incomplete priority control that has a parameter and does not ...

Addressing sustainability issues requires collective action, with individuals playing a crucial role. Despite a willingness to shop responsibly, people lack the knowledge needed to make informed decisions, this information gap underpins the intention-...

The diagnosis of neurodevelopmental disorders in children from 0 to 18 years of age is an extremely complex process which involves the participation of professionals from various medical specialties. Late detection and treatment of these disorders can ...

Regression models of natural language content are widely popular in many applications, such as sentiment analysis, stance detection and emotion detection. The multidimensional Russell and Mehrabian’s Valence-Arousal-Dominance (VAD) model has been ...

Understanding user behavior is at the heart of user interface design, but can only be quantified to some extent. Qualitatively analyzing individual usage sessions is especially important in open-ended tasks like literature search. In this paper, we ...

Ensuring optimal care post-hospitalization is a significant challenge for healthcare systems. Discharge management (DM) is crucial for continuing care, yet process-related issues persist. Artificial Intelligence (AI)-supported systems may address DM-...