The steps we follow to train and validate a predictive model for categorizing an evaluator’s opinion toward a contributor’s pull request as likely to increase, decrease, or not affect trust. by Hitesh Sapkota (8201127)

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)

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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. …”

Seven out of the 11 human cytidine deaminases are more highly expressed in tumor versus normal tissue and their higher expression is correlated with a decrease in survival. by Mason A. McCool (11889842)

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

“…<p dir="ltr">The assertion that artificial intelligence (AI) cannot grasp the complexities of human emotions has been a long-standing debate. …”

Differential expression analysis of nuclear transcripts after siAPOBEC3A depletion reveals induction of TP53 targets and decreases in cell cycle and cell growth regulator transcrip... by Mason A. McCool (11889842)

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Task variability/correlations decrease independently of mean task activity removal step in fMRI data. by Takuya Ito (57473)

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. …”

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. …”

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)

Lens profiles as Ez (orange lines) force was increased and Az and Pz (green lines) forces were decreased. by Ronald A. Schachar (16674576)

<b>Enhancing Human-AI Interactions: The Impact of Pseudo-code Engineering on Improving Predictability and Stability in Large Language Models</b> - Appendix A by Gian Michaelsen (18824614)

“…On the other hand, prompts that integrate both natural language and pseudo-code see a 20% increase in content richness compared to those that use only natural language. …”

Supplementary file 1_Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain.pdf by Birger Moëll (21699569)

“…Introduction<p>We present the Swedish Medical LLM Benchmark (SMLB), an evaluation framework for assessing large language models (LLMs) in the Swedish medical domain.…”

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

“…This essay provides a clear path for the responsible, expert-led integration of AI, ensuring it serves to augment, not replace, human expertise.…”

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

“…Objective<p>Ischemic stroke caused by large artery atherosclerosis (LAA) is a major subtype of ischemic stroke and poses a heavy public health burden. …”

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)

“…Artificial Intelligence (AI), particularly Generative AI (GAI), has emerged as a pivotal disruption in education, showcasing the capability to produce diverse and context-relevant content. …”

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…On average, meliponiculturists lost 43.4 % of their stingless bee colonies annually, 33.3 % during the rainy season, and 22.0 % during the dry season. We found that colony losses during the rainy season decreased with higher abundance of forested areas and increased with higher abundance of agricultural area around meliponaries. …”

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

<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)

“…After modifying the prompt to encourage metformin use, the selection of metformin by GPT-4 increased to 25% (95% CI 22%–28%). GPT-4 rarely selected metformin in patients with impaired kidney function, or a history of gastrointestinal distress (2.9% of responses, 95% CI 1.4%–5.5%). …”