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. …”

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)

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

“…CVLT-II ICC = 0.992; SDMT ICC = 1.000; BVMT-R ICC = 0.822–853), with minimal scoring discrepancies per test (CVLT = 1.05, SDMT = 0.05, BVMT-<i>R</i> = 1.05–1.19). …”

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. …”

<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%). …”

Kaplan-Meier failure functions for hospital readmission after AIS. by Lily W. Zhou (16748332)

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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. …”

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

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. …”

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

Based on one ER model (<i>n</i> = 100, <i>ρ</i> = 0.0606), one WS model (<i>n</i> = 100, <i>K</i> = 6, <i>σ</i> = 0.2), and one BA model (<i>n</i> = 100, <i>M</i>₀ = 4,... by Xi Chen (35903)

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<i>x</i>₁(<i>t</i> + 1) as a function of <i>x</i>_2,3,4,5(<i>t</i>). by Xi Chen (35903)

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Graphical illustration of Case 2 from Theorem 1 (i.e. <i>p</i> < 0 and <i>β</i> ≥ −1/<i>p</i>). by Xi Chen (35903)

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

<i>β</i>^<i>P</i> for real-world twitter datasets. by Xi Chen (35903)

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Data Sheet 1_Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancer.docx by Ei-Wen Yang (149486)

“…Additionally, patients under 50 with APC-mutant primary tumors showed worse survival (p = 0.031) and increased mutation prevalence.</p>Conclusion<p>AI-HOPE-WNT is the first dedicated AI platform for WNT pathway analysis in CRC. …”

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

“…<p>The mean squared error in the estimates of under the posterior distribution decreases as the size of the dataset increases. …”

Based on three WS models with different rewiring probabilities (<i>n</i> = 100, <i>K</i> = 6, <i>σ</i> = 0.1, 0.3, 0.8). by Xi Chen (35903)

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For a random opinion vector y(0), on ER models with <i>n</i> = 100 and <i>ρ</i> ∈ (0,1]. by Xi Chen (35903)

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