To whom it may concern, Each year, students at the University of Primorska evaluate our teaching performance. This process is crucial for gathering feedback to enhance the quality of education. Consistent with our belief in transparency and the importance of…
Retrieval-Augmented Generation (RAG) systems synergize retrieval mechanisms with generative language models to enhance the accuracy and relevance of responses. However, bridging the style gap between user queries and relevant information in document text remains a persistent challenge in retrieval-augmented systems,…
Abstract Life-Cycle Assessment (LCA) is a methodology that is used extensively for evaluating the environmental impacts of products and processes throughout their lifetime. The method is highly dependent on the quality and accuracy of the underlying data. Moreover, the data…
Abstract Indoor Air Quality (IAQ) has long been a significant concern due to its health-related risks and potential benefits. Readily available air quality sensors are now affordable and have been installed in many buildings, with public buildings taking center stage.…
Abstract Large language models (LLMs) have become central to both academic research and industrial applications, fueling debates on their accuracy, usability, privacy, and potential misuse. While proprietary models benefit from substantial investments in data and computing resources, open-sourcing is often…
Abstract Wash trading in decentralized markets remains a significant concern magnified by the pseudonymous and public nature of blockchains. In this paper, we introduce an innovative methodology designed to detect wash-trading activities beyond surface-level transactions. Our approach integrates NFT ownership…
To whom it may concern, Each year, students at the University of Primorska evaluate our teaching performance. This process is crucial for gathering feedback to enhance the quality of education. Consistent with our belief in transparency and the importance of…
