Identification and Description of Emotions by Current Large Language Models - Dataset by Suketu Patel (17748162)

“…However, recent advancements in large language models (LLMs) challenge this notion by demonstrating an increased capacity for understanding and generating human-like text. …”

Example of the prompts used to query the tested Large Language Models (LLMs). by Nicola Luigi Bragazzi (6931424)

Brief summary highlighting the study methology. a) AI Tool Development and Pediatric Repurposing: The AI tool was originally trained and validated using a large dataset of adult ch... by Prerana Agarwal (21781515)

Subjects:

Strengthening assessment integrity in the era of generative AI: evidence from a large-scale study by Liz Hardie (22277602)

“…This large-scale empirical study at a UK university, based on 590 student and 354 AI-generated answers, provides evidence on markers’ ability to detect the GenAI scripts and whether some assessment types are more robust than others against GenAI misuse. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms by I. de Zarza (17378452)

“…<p dir="ltr">Presentation for PhD thesis:</p><p dir="ltr">AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms https://doi.org/10.4995/Thesis/10251/202201</p><p dir="ltr">Abstract:</p><p dir="ltr">The proliferation of autonomous systems, and their increasing integration with day-to-day human life, have opened new frontiers of research and development. …”

Line graph showing the increase or decrease in the average number of bee swarms caught over the past three years (Mean  by Beatrice T. Nganso (4114768)

Bibliometric methods for identifying AI-assisted papers by Andrew Gray (10234100)

Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

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Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

“…The higher the value of mean decrease accuracy or mean decrease Gini score, the higher the importance of the variable in the model.…”

AI augmentation in evidence synthesis workflows. by Alaa Al Khourdajie (13843729)

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Table 1_Association between the atherogenic index of plasma and risk of large-artery atherosclerotic ischemic stroke.xlsx by Wen Zhong (425650)

“…</p>Results<p>Individuals with consistently high levels of AIP were at increased risk of developing LAA, and this risk increased progressively with increasing levels of AIP. …”

Table_1_The impact of large language models on higher education: exploring the connection between AI and Education 4.0.XLSX by Iris Cristina Peláez-Sánchez (18827128)

“…Generative Artificial Intelligence (GAI) has revolutionized natural language processing, computer vision, and creative arts. Large language models (LLMs) like GPT-4 and Open Assistant and tools like DALL-E and Midjourney for the visual and creative domain are increasingly used for various tasks by students and others with critical information needs. …”

Data_Sheet_1_Advanced large language models and visualization tools for data analytics learning.csv by Jorge Valverde-Rebaza (19350325)

Table 2_ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.docx by Yupeng Xu (6787604)

Table 1_ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.docx by Yupeng Xu (6787604)

<b>The Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Antidiabetic Medication Under Conditions of Clinical Uncertainty</b> by James H. Flory (236115)

“…<p dir="ltr">Objective: To explore how the commercially available large language model (LLM) GPT-4 compares to endocrinologists when addressing medical questions when there is uncertainty regarding the best answer.…”

Findings from ANOVA and post-hoc analyses comparing the average performance of the Large Language Models against dietetics and English students. by Nicola Luigi Bragazzi (6931424)

Findings from ANOVA and post-hoc analyses comparing the average performance of the Large Language Models against male and female participants. by Nicola Luigi Bragazzi (6931424)

Root Mean Square Error (RMSE) decreases with number of structures used. by Samuel Coulbourn Flores (11636717)