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Articles 8701 - 8730 of 178284
Full-Text Articles in Entire DC Network
Sp 535.00: Motor Speech Disorders, Jenna G. Musick
Sp 535.00: Motor Speech Disorders, Jenna G. Musick
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Slp 570.00: Clinical Processes In Professional Practice, Leah J. Meloy
Slp 570.00: Clinical Processes In Professional Practice, Leah J. Meloy
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Slp 576.00: Advanced Applied Clinic Ii, Leah J. Meloy, Amanda Jackson
Slp 576.00: Advanced Applied Clinic Ii, Leah J. Meloy, Amanda Jackson
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Slp 675.00: Clinical Externship/ Advanced Practicum, Leah J. Meloy, Amanda Jackson
Slp 675.00: Clinical Externship/ Advanced Practicum, Leah J. Meloy, Amanda Jackson
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Csd 210.01: Speech, Language, Hearing, & Occupational Sciences, Anya A. Leyhe
Csd 210.01: Speech, Language, Hearing, & Occupational Sciences, Anya A. Leyhe
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Scientific Multimodal Summarization : Integrating Knowledge Across Textual, Visual And Auditory Content, Zusheng Tan
Scientific Multimodal Summarization : Integrating Knowledge Across Textual, Visual And Auditory Content, Zusheng Tan
Lingnan Theses (MPhil & PhD)
As scientific publications increasingly incorporate multimodal content, ranging from textual descriptions to figures, tables, presentation videos, and audio, there is a growing need for summarization systems that can effectively process and integrate information across these diverse modalities.
This work presents a comprehensive exploration of Scientific Multimodal Summarization, introducing a series of novel architectures and datasets aimed at advancing this emerging field. 1): We begin by introducing CMT-Sum, which integrates multimodal scientific source content (i.e., primarily paper text and figures) to generate high-quality textual summaries and identify representative graphical abstracts. We refer to this task as Scientific Multimodal Summarization with …
Some Puzzles Concerning Gujarati Nominalized Verbs In Before And After Sentences, Priya P. Patel
Some Puzzles Concerning Gujarati Nominalized Verbs In Before And After Sentences, Priya P. Patel
Dissertations, Theses, and Capstone Projects
Aspect, which relates events to time periods, interacts in complex ways with temporal operators. This complexity is exemplified in the Gujarati language, where certain imperfective nominalized verbal forms are considered unacceptable with the temporal operator pachi (after) but not with pehlaa (before). This paper aims to shed light on this semantic unacceptability by combining insights from prior studies relating to aspect in other Indo-Aryan langauages with previous work done on English before and after.
Examining The Influence Of Encoding And Retrieval Contexts On 2- To 4-Year-Olds' Acquisition Of Nouns And Verbs, Piper Swearengin, Patrick Mihalicz, Leah Marsh, Zoe Baker, Faith Perry, Susan A. Graham, Jane B. Childers
Examining The Influence Of Encoding And Retrieval Contexts On 2- To 4-Year-Olds' Acquisition Of Nouns And Verbs, Piper Swearengin, Patrick Mihalicz, Leah Marsh, Zoe Baker, Faith Perry, Susan A. Graham, Jane B. Childers
Psychology Faculty Research
This study investigates whether the context in which a word is learnt affects noun and verb learning. There is mixed evidence in studies of noun learning, and no studies of background perceptual context in verb learning. Two-, three-, and four-year-olds (n = 162) saw a novel object moved in a novel way while hearing four novel words, either nouns or verbs. They were asked to generalize the word to a similar action or object shown in the same or different context. Results demonstrate that 2- and 3-year-olds were more accurate at test when learning nouns than verbs, demonstrating that verb …
A Dynamic Hierarchical Attention Framework For Multimodal Malware Detection, Tamanna Nazmin
A Dynamic Hierarchical Attention Framework For Multimodal Malware Detection, Tamanna Nazmin
Graduate Theses and Dissertations
The increasing use of Android in the worldwide mobile ecosystem has come along with a significant increase in advanced malware, highlighting the critical necessity for efficient, scalable, and adaptable detection systems. Despite recent advancements in machine learning improving malware detection, the majority of current solutions are limited to one, two, or three data modalities, hence neglecting the comprehensive behavioral spectrum of contemporary multi-vector threats. This thesis presents the first comprehensive multimodal framework for Android malware detection, which combines textual, time-series (temporal), graph-based (structural), and visual information using an innovative hierarchical attention mechanism and Dynamic Fusion Controller(DFC). Our methodology consistently classifies …
The Intersection Of Race And Nativity: Exploring Criminal Justice Contact Among Black Adults In The United States., Uchenna Makuochukwu Onuoha
The Intersection Of Race And Nativity: Exploring Criminal Justice Contact Among Black Adults In The United States., Uchenna Makuochukwu Onuoha
Graduate Theses and Dissertations
Black immigrants in the United States navigate a dual identity as both Black and immigrant, yet their unique experiences remain underexplored in research on immigration and crime. While prior studies have documented generational differences and negative associations between immigration and crime, the intersection of race and nativity in shaping criminal justice contact for Black immigrants is unknown. Using data from the National Longitudinal Study of Adolescent to Adult Health, this study examines the role of race and nativity on various forms of criminal justice contact. Specifically, we investigate (1) the extent to which nativity plays a role in criminal legal …
Uncovering The Works By Early Modern Women Printers: An Experiment With Generative Ai, Tang (Cindy) Tian, Daniela Rovida
Uncovering The Works By Early Modern Women Printers: An Experiment With Generative Ai, Tang (Cindy) Tian, Daniela Rovida
Journal Articles
The contributions of women to the printing trade during the hand press era have long been under- documented, leaving significant historical gaps in our understanding of early print culture. This article presents a project that uses ChatGPT-4o, a generative artificial intelligence (AI) chatbot, to help bridge those gaps by identifying, analyzing, and contextualizing the work of women printers represented in the University of Notre Dame’s rare book collections.
The Brescia International Multidisciplinary Consensus Guidelines On The Optimal Pathology Assessment And Multidisciplinary Pathways Of Non-Pancreatic Neoplasms In And Around The Ampulla Of Vater (Peripan), Mohammad Abu Hilal, Bas A Uijterwijk, Daniël H L Lemmers, Boris V Janssen, Marc G Besselink, Denise Bianchi, Arantza Fariña, Noriyoshi Fukushima, Anthony J Gill, Seung-Mo Hong, Alyssa Krasinskas, Claudio Luchini, Laura Melocchi, Giulio Rossi, Aldo Scarpa, Olca Basturk, Deyali Chatterjee, Angela Chou, Irene Esposito, Roger Feakins, Bas Groot Koerkamp, Ralph H Hruban, Stefano La Rosa, Chanjuan Shi, Aatur Singhi, Joanne Verheij, Huamin Wang, Sergio Alfieri, Fabio Ausania, Adnan Alseidi, Marco J Bruno, Ugo Boggi, Claudio Bnà, Christos Dervenis, Massimo Falconi, Michele Ghidini, Jakob W Kist, Giovanni Marchegiani, Michele Milella, Roberto Salvia, Ajith Siriwardena, Hanneke Wilmink, Alberto Zaniboni, Shaimaa Al-Janabi, Maia Blomhoff Holm, Eva Roos, Naoki Sano, In Hye Song, Zeynep Tarcan, Gianpaolo Balzano, Isabella Frigerio, Alfredo Guglielmi, Giuseppe Malleo, Horacio Asbun, Volkan Adsay, Caroline Verbeke
The Brescia International Multidisciplinary Consensus Guidelines On The Optimal Pathology Assessment And Multidisciplinary Pathways Of Non-Pancreatic Neoplasms In And Around The Ampulla Of Vater (Peripan), Mohammad Abu Hilal, Bas A Uijterwijk, Daniël H L Lemmers, Boris V Janssen, Marc G Besselink, Denise Bianchi, Arantza Fariña, Noriyoshi Fukushima, Anthony J Gill, Seung-Mo Hong, Alyssa Krasinskas, Claudio Luchini, Laura Melocchi, Giulio Rossi, Aldo Scarpa, Olca Basturk, Deyali Chatterjee, Angela Chou, Irene Esposito, Roger Feakins, Bas Groot Koerkamp, Ralph H Hruban, Stefano La Rosa, Chanjuan Shi, Aatur Singhi, Joanne Verheij, Huamin Wang, Sergio Alfieri, Fabio Ausania, Adnan Alseidi, Marco J Bruno, Ugo Boggi, Claudio Bnà, Christos Dervenis, Massimo Falconi, Michele Ghidini, Jakob W Kist, Giovanni Marchegiani, Michele Milella, Roberto Salvia, Ajith Siriwardena, Hanneke Wilmink, Alberto Zaniboni, Shaimaa Al-Janabi, Maia Blomhoff Holm, Eva Roos, Naoki Sano, In Hye Song, Zeynep Tarcan, Gianpaolo Balzano, Isabella Frigerio, Alfredo Guglielmi, Giuseppe Malleo, Horacio Asbun, Volkan Adsay, Caroline Verbeke
Faculty, Staff and Student Publications
IMPORTANCE: The lack of multidisciplinary workflow guidelines and clear definitions and classifications for neoplasms in and around the ampulla of Vater results in inconsistencies affecting patient care and research.
OBJECTIVE: The PERIPAN international multidisciplinary consensus group aimed to standardize the multidisciplinary diagnostic workflow and achieve consensus on definitions and classifications in order to ensure proper classification and optimal diagnostic assessment and consequently to improve patient care and future research.
DESIGN: An international team of 43 experts (pathologists, surgeons, radiologists, gastroenterologists, oncologists) from 12 countries identified knowledge gaps, reviewed 37061 articles, and proposed recommendations using the Scottish Intercollegiate Guidelines Network methodology …
Ling 471.01: Phonetics And Phonology, Mizuki Miyashita
Ling 471.01: Phonetics And Phonology, Mizuki Miyashita
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Ling 571.01: Phonetics And Phonology, Mizuki Miyashita
Ling 571.01: Phonetics And Phonology, Mizuki Miyashita
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Does Writing Have A Future?, David J. Gunkel
Does Writing Have A Future?, David J. Gunkel
Proceedings of the New York State Communication Association
Professor David J. Gunkel is the Chair of the Department of Communication at Northern Illinois University – but that is his latest achievement in an extensive list of accomplishments. He is an award-winning educator, researcher, and the author of more than ninety scholarly articles and thirteen books. And it is his latest book, AI for Communication, and his latest thinking about what we have called artificial intelligence and writing that brought him to our 82nd annual conference.
In his keynote address on Saturday, October 9th, 2024, Dr. Gunkel argues that AI does not signal the “end …
Curing The Peasant's Disease : Frank Oldt’S Work And Research On Hookworm Disease In South China, 1905-1926, Jiaying Fu
Curing The Peasant's Disease : Frank Oldt’S Work And Research On Hookworm Disease In South China, 1905-1926, Jiaying Fu
Lingnan Theses (MPhil & PhD)
While current scholarship on “hygienic modernity” in China focuses on the construction of urban health systems and institutional infrastructures, this study proposes an alternative analytical lens by foregrounding the domain of agricultural health. It aims to investigate how early twentieth-century medical researchers uncovered public health models grounded in China’s agrarian conditions. Taking the case of Frank Oldt (1879–1976), a medical missionary living in Guangdong between 1905 and 1926, this research examines how he identified, interpreted, and sought to mitigate the problem of hookworm disease—a parasitic condition intricately linked to China’s farming practices and rural environmental conditions.
Specifically, this thesis aims …
Assessing The Assessors: A Study Of Teachers' Assessment Knowledge For Dhh Students, David R. Meek, Ashley N. Greene, Holly V. Metcalf, Erich A. Tucker, Sonia B. Arora
Assessing The Assessors: A Study Of Teachers' Assessment Knowledge For Dhh Students, David R. Meek, Ashley N. Greene, Holly V. Metcalf, Erich A. Tucker, Sonia B. Arora
JADARA
This descriptive study examines Teachers of the Deafs’ (TODs) self-reported assessment knowledge, classroom practices, and preparation experiences. Using a survey based on the Pedagogical Content Knowledge (PKC) framework, we collected data from 89 certified TODs across the United States. Results indicate that while TODs understand the importance of assessment, many report inadequate preparation from their teacher training programs and rely primarily on on-the-job learning. Participants expressed concerns about the limited availability of appropriate assessments for Deaf and Hard of Hearing (DHH) students and challenges in adapting existing assessment tools. The findings highlight a need for enhanced assessment training in teacher …
Career Advising Utilization: A Quantitative Archival Analysis Of Student Engagement Across Academic Levels And Colleges At A Southeast University, Edward Raimundi Iii
Career Advising Utilization: A Quantitative Archival Analysis Of Student Engagement Across Academic Levels And Colleges At A Southeast University, Edward Raimundi Iii
Electronic Theses and Dissertations
This quantitative ex-post facto study examined patterns of career advising utilization at a large, R1 public university in the southeastern region of the United States. Institutional advising data from the 2023–24 advising year was utilized to identify usage patterns across different demographics such as college affiliation and academic level. The descriptive stats from the archival data were used to measure topic distributions, undergraduate–graduate usage by college, and contact engagement. The sample size included over 35,000 students with 10 different college affiliation labels. Significant differences across advising usage in the different colleges were found during the study. Undergraduate students had higher …
Pre-K Teachers’ Perceptions About Professional Learning: Influence On Instructional Methods, Classroom Management Skills, And Student Outcomes, Victoria Abakah Korsah
Pre-K Teachers’ Perceptions About Professional Learning: Influence On Instructional Methods, Classroom Management Skills, And Student Outcomes, Victoria Abakah Korsah
Electronic Theses and Dissertations
The purpose of this qualitative descriptive phenomenological study was to solicit pre-K teachers’ perceptions about professional development and its influences on instructional methodology, classroom management skills, and student outcomes. Interviews conducted with 11 teachers from childcare centers in a major urban city of Illinois provided insight into experiences of types of PL and development engagement, such as online courses, webinars, learning communities, coaching, mentoring, professional conferences, and content selection. Other experiences involved social-emotional learning, lesson planning, project-based learning, and how to teach children with special needs. The interview data collected from the participants yielded five themes using Colizzi’s data analysis …
Navigating Barriers: The Experiences Of First-Generation, Low-Income, Hispanic Male Stem Majors Enrolled In Texas Universities, Katherine L. Autry
Navigating Barriers: The Experiences Of First-Generation, Low-Income, Hispanic Male Stem Majors Enrolled In Texas Universities, Katherine L. Autry
Electronic Theses and Dissertations
This qualitative descriptive study explored barriers, strategies, and career aspirations of 10 firstgeneration, low-income Hispanic male STEM students at Texas universities. Prior research highlighted systemic inequities affecting this group’s academic success. The study addressed how these students described educational barriers, strategies to overcome them, and influences on their STEM career aspirations. Data were collected via 10 semistructured Zoom interviews, online questionnaires, and open-ended questionnaires from participants at four Texas-based universities. Reflexive thematic analysis with NVivo software identified five themes: sociocultural and economic barriers, academic and institutional challenges, resilience and coping strategies, support systems, and influence on career aspirations and identity. …
Lighttransfer: Your Long-Context Llm Is Secretly A Hybrid Model With Effortless Adaptation, Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin
Lighttransfer: Your Long-Context Llm Is Secretly A Hybrid Model With Effortless Adaptation, Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin
Research Collection School Of Computing and Information Systems
Scaling language models to handle longer contexts introduces substantial memory challenges due to the growing cost of key-value (KV) caches. Motivated by the efficiency gains of hybrid models and the broad availability of pretrained large transformer backbones, we explore transitioning transformer models into hybrid architectures for a more efficient generation. In this work, we propose LightTransfer, a lightweight method that transforms models such as LLaMA into hybrid variants. Our approach identifies lazy layers -- those focusing on recent or initial tokens -- and replaces their full attention with streaming attention. This transformation can be performed without any training for long-context …
Guiding Multiple Remote Users In Physical Tasks With Language-Driven Robotic Telepresence, Ruyi Li, Jingfei Guo, Xinyi Zhang, Xuji Zhang, Zeqing Li, Jiannan Li, Jiangtao Gong
Guiding Multiple Remote Users In Physical Tasks With Language-Driven Robotic Telepresence, Ruyi Li, Jingfei Guo, Xinyi Zhang, Xuji Zhang, Zeqing Li, Jiannan Li, Jiangtao Gong
Research Collection School Of Computing and Information Systems
Remote assistance through robotic telepresence could involve both control and memory challenges, particularly in one expert to multiple workers situation. In this work, we proposed a novelty language-driven interface to facilitate remote collaboration through telepresence robots. Through operations and maintenance expert interviews and a scenario simulation study, we identified key pain points in executing one-expert-multiple-workers remote guidance using the telepresence robot and proposed two design goals, which together consist of five sub-design goals with corresponding features. These features were integrated into a standard telepresence robot, resulting in the development of a Collaborative LLM-based Embodied Assistant Robot, named CLEAR Robot. A …
In Crypto We Trust: A Cross-National Comparison Of Factors Affecting Trust In Cryptocurrencies, Arif Perdana, W. Eric Lee, Chu Yeong Lim, Gary Pan, Poh Sun Seow
In Crypto We Trust: A Cross-National Comparison Of Factors Affecting Trust In Cryptocurrencies, Arif Perdana, W. Eric Lee, Chu Yeong Lim, Gary Pan, Poh Sun Seow
Research Collection School Of Accountancy
Background: Trust in cryptocurrencies is a complex and evolving construct influenced by technological, economic, and social factors. Unlike traditional information systems that rely on institutional trust, cryptocurrency users often depend on underlying technology and community insights. Despite growing interest, existing research has primarily focused on narrow aspects of trust, with limited cross-national perspectives and comprehensive models.
Method: This study investigates how geographic differences impact user trust in cryptocurrencies by surveying 644 respondents from China, Germany, and the USA. Drawing on established trust formation theories, it utilizes a comprehensive model encompassing technological, economic, and social factors.
Results: Our analysis reveals multiple …
¡Iniciando! La Adultez (Launching! To Adulthood): A Cultural And Linguistic Adaptation Of A Group Therapy Program For Young Adults With Autism Spectrum Disorder Transitioning To Adulthood, Antonio F Pagán, Katherine A Loveland, Ron Acierno
¡Iniciando! La Adultez (Launching! To Adulthood): A Cultural And Linguistic Adaptation Of A Group Therapy Program For Young Adults With Autism Spectrum Disorder Transitioning To Adulthood, Antonio F Pagán, Katherine A Loveland, Ron Acierno
Faculty, Staff and Student Publications
Objectives: The transition to adulthood is a formative period of development for young adults with autism spectrum disorder (ASD), as they work towards independence and managing adult responsibilities. While evidence-based interventions have been developed for young adults with ASD, they have rarely been culturally and linguistically adapted for the Latino, Spanish-speaking community. The present study provided initial feasibility and acceptability data for a therapy program for Latino young adults with ASD transitioning to adulthood and their Spanish-speaking parents.
Methods: The culturally adapted and translated intervention, called ¡Iniciando! la Adultez, is a 10-week therapy program based on an evidence-based treatment ( …
The Luminos Project: Co-Designing A Short-Stay Suicide Support Model For Young People, Aims Hansen, Samantha Speirs, Kirsten Panton, Jacinta Freeman, Zrinka Highfield, Kieren Marshall, Eleanor Tighe, Laura Hemming, Bep Uink, Francis Mitrou, Vu Vuong, Ashleigh Lin
The Luminos Project: Co-Designing A Short-Stay Suicide Support Model For Young People, Aims Hansen, Samantha Speirs, Kirsten Panton, Jacinta Freeman, Zrinka Highfield, Kieren Marshall, Eleanor Tighe, Laura Hemming, Bep Uink, Francis Mitrou, Vu Vuong, Ashleigh Lin
Research outputs 2022 to 2026
Background: Suicide was the leading cause of death among young Australians aged 15–24 years old in 2023, with 392 lives lost. The continued high numbers of youth suicide demand urgent exploration of alternative approaches to suicide intervention in this population. The United Kingdom-based suicide service Maytree offers an innovative short-term stay for people experiencing suicidal thoughts. Grounded by the Maytree model-of-care, the aim of the current study was to co-design a short-stay service responsive to the specific needs of suicidal young people. Methods: Semi-structured and focus group interviews with young people (n = 38), caregivers (n = 11) and key …
Old Frames On New Media: Health Misinformation In Black Digital Communities, Merriah Croston
Old Frames On New Media: Health Misinformation In Black Digital Communities, Merriah Croston
Brown School Graduate Student Theses and Dissertations
Growing evidence suggests that health misinformation has the potential to proliferate on social media. However, our understanding of the problem’s magnitude continues to evolve. Despite several studies on health misinformation and Black communities in the United States (U.S.), few of these studies characterize misinformation within digital settings. This dissertation seeks to address this gap by: 1) synthesizing the literature on health misinformation and Black communities to identify prevalent misinformation topics and claims, characteristics of exposure to and belief in these topics and claims, and successful intervention strategies; 2) quantifying and characterizing the volume of COVID-19 misinformation on Black Twitter during …
Habit And The Potential For Actor Training With Immersive And Virtual Production Technology, John Matthews
Habit And The Potential For Actor Training With Immersive And Virtual Production Technology, John Matthews
School of Art, Design and Architecture
The advance of immersive and virtual technologies draws into starker contrast the analogue modalities of dominant approaches to actor training and makes more visible certain of their dynamics, which are analysed here using a philosophical framework of habit and habitus as propositionally causative. This technology is disruptive to habit and habitus in actor training and signifies potential to experiment with these dynamics to address extant problems in actor training. Problems in training habitus discussed here derive from trainers’ habits but arise primarily for trainees, and especially so for certain groups. I use Lazlo Pearlman and Deirdre McLaughlin’s critique of the …
Towards Multimodal Emotional Support Conversation Systems, Yuqi Chu, Lizi Liao, Zhiyuan Zhou, Chong-Wah Ngo, Richang Hong
Towards Multimodal Emotional Support Conversation Systems, Yuqi Chu, Lizi Liao, Zhiyuan Zhou, Chong-Wah Ngo, Richang Hong
Research Collection School Of Computing and Information Systems
The integration of conversational artificial intelligence (AI) into mental health care promises a new horizon for therapist-client interactions, aiming to closely emulate the depth and nuance of human conversations. Despite the potential, the current landscape of conversational AI is markedly limited by its reliance on single-modal data, constraining the systems’ ability to empathize and provide effective emotional support. This limitation stems from a paucity of resources that encapsulate the multimodal nature of human communication essential for therapeutic counseling. To address this gap, we introduce the Multimodal Emotional Support Conversation (MESC) dataset, a first-of-its-kind resource enriched with comprehensive annotations across text, …
Democratizing Community Discourse Analysis In Computational Social Science, Md Towhidul Absar Chowdhury
Democratizing Community Discourse Analysis In Computational Social Science, Md Towhidul Absar Chowdhury
Theses
Community resource inequities and undetected infrastructure vulnerabilities cost municipalities billions annually, with disproportionate impacts on marginalized communities. Current computational approaches to community needs assessment suffer from two critical limitations: they rely on aggregate-level analysis that obscures granular community expressions, and they implement sophisticated computational tools that remain inaccessible to stakeholders without technical expertise. This creates what we term the Community-Computational Gap—a persistent divide where domain experts with vital contextual knowledge cannot access the analytical tools they need, while computational experts develop models without sufficient community context. This dissertation addresses these challenges through a novel methodological framework for fine-grained utterance-level classification …
Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin
Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin
Faculty Research, Scholarly, and Creative Activity
Language modeling has evolved from simple rule-based systems into complex assistants capable of tackling a multitude of tasks. State-of-the-art large language models (LLMs) are capable of scoring highly on proficiency benchmarks, and as a result have been deployed across industries to increase productivity and convenience. However, the prolific nature of such tools has provided threat actors with the ability to leverage them for attack development. Our paper describes the current state of LLMs, their availability, and their role in benevolent and malicious applications. In addition, we propose how an LLM can be combined with text-to-speech (TTS) voice cloning to create …