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pro vyhledávání: '"Bojic A"'
The rapid growth of online news platforms has led to an increased need for reliable methods to evaluate the quality and credibility of news articles. This paper proposes a comprehensive framework to analyze online news texts using natural language pr
Externí odkaz:
http://arxiv.org/abs/2401.03467
The emergence of the metaverse, envisioned as a hyperreal virtual universe facilitating boundless human interaction, stands to revolutionize our conception of media, with significant impacts on addiction, creativity, relationships, and social polariz
Externí odkaz:
http://arxiv.org/abs/2401.03461
As Large Language Models (LLMs) become increasingly integrated into everyday life, their capabilities to understand and emulate human cognition are under steady examination. This study investigates the ability of LLMs to comprehend and interpret ling
Externí odkaz:
http://arxiv.org/abs/2312.09545
This paper explores the potential of a multidisciplinary approach to testing and aligning artificial general intelligence (AGI) and LLMs. Due to the rapid development and wide application of LLMs, challenges such as ethical alignment, controllability
Externí odkaz:
http://arxiv.org/abs/2312.09402
Autor:
Alipour, Shayan, Galeazzi, Alessandro, Sangiorgio, Emanuele, Avalle, Michele, Bojic, Ljubisa, Cinelli, Matteo, Quattrociocchi, Walter
The role of social media in information dissemination and agenda-setting has significantly expanded in recent years. By offering real-time interactions, online platforms have become invaluable tools for studying societal responses to significant even
Externí odkaz:
http://arxiv.org/abs/2310.11116
Human evaluation plays a crucial role in Natural Language Processing (NLP) as it assesses the quality and relevance of developed systems, thereby facilitating their enhancement. However, the absence of widely accepted human evaluation metrics in NLP
Externí odkaz:
http://arxiv.org/abs/2310.01917
Autor:
Jovana Paunovic Pantic, Danijela Vucevic, Tatjana Radosavljevic, Peter R. Corridon, Svetlana Valjarevic, Jelena Cumic, Ljubisa Bojic, Igor Pantic
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract This study focuses on developing machine learning models to detect subtle alterations in hepatocyte chromatin organization due to Iron (II, III) oxide nanoparticle exposure, hypothesizing that exposure will significantly alter chromatin text
Externí odkaz:
https://doaj.org/article/c2a309d9088a4a0d80c8cb4976af1917
As Large Language Models (LLMs) continue to gain popularity due to their human-like traits and the intimacy they offer to users, their societal impact inevitably expands. This leads to the rising necessity for comprehensive studies to fully understan
Externí odkaz:
http://arxiv.org/abs/2306.04308
Non-communicable diseases (NCDs) are a leading cause of global deaths, necessitating a focus on primary prevention and lifestyle behavior change. Health coaching, coupled with Question Answering (QA) systems, has the potential to transform preventive
Externí odkaz:
http://arxiv.org/abs/2305.19707
Autor:
Bojic, Iva, Halim, Josef, Suharman, Verena, Tar, Sreeja, Ong, Qi Chwen, Phung, Duy, Ravaut, Mathieu, Joty, Shafiq, Car, Josip
Publikováno v:
2023.In The Fourth Workshop on Insights from Negative Results in NLP, pages 19-32, Dubrovnik, Croatia. Association for Computational Linguistics
Low-quality data can cause downstream problems in high-stakes applications. Data-centric approach emphasizes on improving dataset quality to enhance model performance. High-quality datasets are needed for general-purpose Large Language Models (LLMs)
Externí odkaz:
http://arxiv.org/abs/2304.00483