Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be?

Explaining and Harnessing Adversarial Examples

Goodfellow, I. J., Shlens, J., & Szegedy, C. (2014) · arXiv · doi:10.48550/arxiv.1412.6572 · Cited by 10,381

Intriguing properties of neural networks

Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013) · arXiv · doi:10.48550/arxiv.1312.6199 · Cited by 8,143

Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

BAİDOO-ANU, D., & OWUSU ANSAH, L. (2023) · Journal of AI · doi:10.61969/jai.1337500 · Cited by 3,939

An overview of clinical decision support systems: Benefits, risks, and strategies for success

Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0221-y · Cited by 3,019

Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

Baidoo-Anu, D., & Owusu Ansah, L. (2023) · doi:10.2139/ssrn.4337484 · Cited by 3,004

ChatGPT: five priorities for research

van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023) · Nature · doi:10.1038/d41586-023-00288-7 · Cited by 1,842

ChatGPT is fun, but not an author

Thorp, H. H. (2023) · Science · doi:10.1126/science.adg7879 · Cited by 1,437

On Evaluating Adversarial RobustnessPreprint

Carlini, N., Athalye, A., Papernot, N., Brendel, W., Rauber, J., Tsipras, D., Goodfellow, I., Mądry, A., & Kurakin, A. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.06705 · Cited by 1,066

ChatGPT and other large language models are double-edged swords

Shen, Y., Heacock, L., Elias, J., Hentel, K. D., Reig, B., Shih, G., & Moy, L. (2023) · Radiology · doi:10.1148/radiol.230163 · Cited by 1,008

ChatGPT listed as author on research papers: many scientists disapprove

Stokel-Walker, C. (2023) · Nature · doi:10.1038/d41586-023-00107-z · Cited by 868

The impact of large language models on medical research and patient care: A systematic review of current trends, challenges, and future innovations

Asif, S., Hadi, F., Ain, Q. U., Yan, Y., Wang, V. Y., & Xu, D. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100847 · Cited by 5

Investigating the role of conversational agents in augmented cultural heritage tours

Loretti, A., Bernasconi, V., Cascarano, P., Troffei, A., Lai, M., Vitale, L., Bortolotti, A., & Marfia, G. (2026) · Journal Of Big Data · doi:10.1186/s40537-026-01418-4 · Cited by 5

After a few months, what are the uses of OpenAI’s ChatGPT in medicine? A Scopus-based systematic review

Moya‐Salazar, J., Salazar, C. R., Delzo, S. S., Goicochea‐Palomino, E. A., & Rojas-Zumarán, V. (2024) · Electronic Journal of General Medicine · doi:10.29333/ejgm/14354 · Cited by 6

After one year of ChatGPT’s launch: reflections on artificial intelligence in scientific writing

Feng, Y., Han, J., & Lan, X. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-023-06579-5 · Cited by 5

Automation of 99mTc mercaptoacetyltriglycine (MAG3) report writing using a vision language model

Bosbach, W. A., Clement, C., Strunz, F., Zangeneh, F. A., Gözlügöl, N., Bregenzer, C., Mingels, C., Koller, P., Zeimpekis, K., Shi, K., et al. (2025) · EJNMMI Research · doi:10.1186/s13550-025-01323-6 · Cited by 4

Foundation models in medical imaging: A review

Chen, Q., Liu, A., Zhang, J., Yang, C., & Zhang, Y. (2026) · EngMedicine · doi:10.1016/j.engmed.2026.100123 · Cited by 8

Fin-Rag A Rag System for Financial Documents

Kannammal, K. E., K, M. A. R., Kuzhali Tamizhiniyal, P., Ganishkar, G., & Adrinath, C. (2025) · doi:10.38124/ijisrt/25apr1147 · Cited by 5

Can ChatGPT pass the urology fellowship examination? Artificial intelligence capability in surgical training assessment

Lockhart, K. R., Canagasingham, A., Zhong, W., Ashrafi, D., March, B., Cole‐Clark, D., Grant, A., & Chung, A. S. J. (2025) · British Journal of Urology · doi:10.1111/bju.16806 · Cited by 4

How do LLMs perform in the context of MCQs across different levels of thinking skills in a business education course at higher education? A comparison of ChatGPT, Gemini, and Copilot

Goorts, L., Hollevoet, R., Xia, V., Cammaerts, F., & Güngör, A. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100475 · Cited by 7

Iraqi Legal GPT

Mustafa, M. S., Abdulfatah, M. B., Abdulkareem, H. A., & Ashir, A. M. (2024) · International Multi-Conference on Systems, Signals & Devices (SSD) · doi:10.1109/ssd61670.2024.10548909 · Cited by 4

Science Exam Question Answering based on Retrieval-Augmented Generation

Gao, M., Xiong, J., Zong, Y., & Li, S. (2024) · International Conference on Computer Technologies (ICCTech) · doi:10.1109/icctech61708.2024.00020 · Cited by 5

Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models

Roll, D. S., Kurt, Z., Li, Y.-L., & Woo, W.-L. (2025) · Italian National Conference on Sensors · doi:10.3390/s25113352 · Cited by 5

Capability of chatbots powered by large language models to support the screening process of scoping reviews: a feasibility study

Nordmann, K., Schaller, M., Sauter, S., & Fischer, F. (2025) · JAMIA Open · doi:10.1093/jamiaopen/ooaf098 · Cited by 4

DECENTRALISED AUTONOMOUS SOCIETY THROUGH LARGE LANGUAGE MODELS’ BASED AGENTS: A PATHWAY TO EMPOWER SMALL COMMUNITIES

Braga, V. (2023) · Journal of Engineering Science · doi:10.52326/jes.utm.2023.30(3).07 · Cited by 3

RMF-GPT — OpenAI GPT-3.5 LLM, Blockchain, NFT, Model Cards and OpenScap Enabled Intelligent RMF Automation System

Bandara, E., Shetty, S. S., Rahman, A., Mukkamala, R., Foytik, P. B., & Liang, X. (2024) · 2012 International Conference on Computing, Networking and Communications (ICNC) · doi:10.1109/icnc59896.2024.10555963 · Cited by 5

LLMAC: A Global and Explainable Access Control Framework with Large Language Model

Zisad, S. N., & Hasan, R. (2026) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc65079.2026.11366514 · Cited by 4

Conceptual proposal for LLM-generated FDG PET/CT follow-up reports in melanoma: a pilot study on model stability and blinded expert evaluation

Bosbach, W. A., Heide, M. S., Gözlügöl, N., Dana, F., Zangeneh, F. A., Ventura, D., Schindler, P., Roll, W., Strunz, F., Caobelli, F., et al. (2026) · Frontiers in Nuclear Medicine · doi:10.3389/fnume.2026.1723650 · Cited by 3

Integrating Traditional Chinese Medicine massage therapy with machine learning: A new trend in future healthcare

Shen, Y., Wang, S., Shen, Y., & Xing, H. (2024) · Progress in Medical Devices · doi:10.61189/721472czacxf · Cited by 3

Context‐Aware Prompt Engineering for Large Language Models in Autonomous Vehicles

Abbasi, S., & Rahmani, A. M. (2025) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.70392 · Cited by 3

AI-Assisted Chinese Language Teaching System in Distributed Sensor Networks

Shan, H. (2023) · Scalable Computing Practice and Experience · doi:10.12694/scpe.v24i4.2385 · Cited by 3

ChatGPT in Nuclear Medicine: Expanding Possibilities and Navigating Challenges

Khangembam, B. C. (2024) · Indian Journal of Nuclear Medicine · doi:10.4103/ijnm.ijnm_67_23 · Cited by 3

Exploring the Synergy of Grammar-Aware Prompt Engineering and Formal Methods for Mitigating Hallucinations in LLMs

Joseph, T., & Kenneth, M. H. (2024) · East African Journal of Information Technology · doi:10.37284/eajit.7.1.2111 · Cited by 4

WedaGPT — Generative-AI (with Custom-Trained Meta’s Llama2 LLM), Blockchain, Self Sovereign Identity, NFT and Model Card Enabled Indigenous Medicine Platform

Bandara, E., Foytik, P. B., Shetty, S. S., Mukkamala, R., Rahman, A., Liang, X., Ng, W. K., & Zoysa, K. D. (2024) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc61673.2024.10733674 · Cited by 3

Performance of ChatGPT in emergency medicine residency exams in Qatar: A comparative analysis with resident physicians

Iftikhar, H., Anjum, S., Bhutta, Z. A., Najam, M., & Bashir, K. (2024) · Qatar medical journal · doi:10.5339/qmj.2024.61 · Cited by 4

A Generative AI-Driven CTI Framework for IDS using Machine Learning and Knowledge Graph

Amin, Q. K., Gillani, S. H. A. S., Shah, S. N. M., & Hussain, A. (2024) · International Multi-Topic Conference · doi:10.1109/inmic64792.2024.11004337 · Cited by 2

Forensic analysis and privacy implications of LLM mobile apps: A case study of ChatGPT, Copilot, and Gemini

Tyagi, S., Gong, Y., & Karabiyik, Ü. (2025) · Forensic Science International Digital Investigation · doi:10.1016/j.fsidi.2025.301974 · Cited by 4

A comprehensive review of LLM applications for lung cancer diagnosis and treatment: classification, challenges, and future directions

Ghorbian, M., & Ghobaei-Arani, M. (2025) · Journal of Big Data · doi:10.1186/s40537-025-01304-5 · Cited by 4

Model Context Contracts - MCP-Enabled Framework to Integrate LLMs With Blockchain

Bandara, E., Shetty, S. S., Mukkamala, R., Gore, R. J., Rahman, A., Foytik, P. B., Bouk, S. H., Liang, X., Ng, W. K., & Zoysa, K. D. (2025) · International Conference on Blockchain Computing and Applications (BCCA) · doi:10.1109/bcca66705.2025.11229749 · Cited by 2

Large language models for code generation: A survey

Ghorbian, M., Ghobaei‐Arani, M., & Shakarami, A. (2026) · Computer Standards & Interfaces · doi:10.1016/j.csi.2026.104165 · Cited by 2

Deep research and analysis of ChatGPT based on multiple testing experiments

Wei, S., Luo, Y., Chen, S., Huang, T., & Xiang, Y. (2023) · International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) · doi:10.1109/cyberc58899.2023.00030 · Cited by 3

MEDIBOT-An AI Powered Chatbot

Sharma, S., Rai, N., Bansal, S., & Bansal, H. (2024) · International Conference on Contemporary Computing · doi:10.1145/3675888.3676136 · Cited by 2

Quality of Information in Carpal Tunnel Syndrome

Aguilar, J. S., Florido, M. V., Mayol, J. M., Cristóbal, L., & Maldonado, A. A. (2025) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000004232 · Cited by 2

Large Language Models For Multimodal User Interaction in Virtual Environments

Sayed, A., & Pfeil, K. P. (2025) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3716553.3750800 · Cited by 2

Research on grid inspection technology based on general knowledge enhanced multimodal large language models

Gao, P. Z., Rao, Z., gao, S., zheng, Y., & li, Y. (2024) · International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) · doi:10.1117/12.2692326 · Cited by 2

Measuring Accuracy in AI-Generated Definitions: A Comparison Among Select GPTs Using Cosine Similarity IndexPreprint

Patra, N., Sharma, S., Ray, N., & Bera, D. (2024) · Research Square · doi:10.21203/rs.3.rs-4523248/v1 · Cited by 2

Implications of ChatGPT on Radiology Workflow

CADTH (2023) · Canadian Journal of Health Technologies · doi:10.51731/cjht.2023.789 · Cited by 1

Research and Application of Chatbots in the Field of Education: A Bibliometric Analysis Using VOSviewer

Chen, S., & Huang, Y. (2023) · International Conference on Computer Engineering and Distance Learning (CEDL) · doi:10.1109/cedl60560.2023.00039 · Cited by 2

LangchainIQ: Intelligent Content and Query Processing

Ghane, S., Sawant, R., Supe, G., & Pichad, C. (2024) · International Journal of Management Technology and Social Sciences · doi:10.47992/ijmts.2581.6012.0360 · Cited by 1

Transformation of Knowledge-Centered Pedagogy with ChatGPT and AI in Educational Practices

Khalid, A. (2025) · European Journal of Applied Science Engineering and Technology · doi:10.59324/ejaset.2025.3(1).05 · Cited by 3

Evaluating Large Language Models for Table Data Extraction from Annual Reports in PDF

Nguyen, N. B., Kammermann, L., & Hanne, T. (2025) · Journal of Advances in Information Technology · doi:10.12720/jait.16.8.1118-1126 · Cited by 1

Human-Centred Artificial Intelligence: Pilot Design of a Virtual Patient

Samson, J., Lameras, P., Taylor, N., Holliday, N., Castleberry, M. M. C., Arnoczki, S., & Kneafsey, R. (2025) · SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health/IEEE International Conference on Serious Games and Applications for Health · doi:10.1109/segah65397.2025.11168432 · Cited by 1

Using Predictive Models and AI for AKI Research

Rajagopal, M., Chan, L., & Nadkarni, G. N. (2025) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2025.151673 · Cited by 1

Using large language model to aid in teaching medical imaging report writing

Chen, Y., Xiang, P., Zhou, Q., Li, C., Zhang, X., Wang, J., Wang, H. J., Gao, Z., Yang, Z., Ye, S., et al. (2025) · Medical Teacher · doi:10.1080/0142159x.2025.2603353 · Cited by 2

Textualized multimodal priors and gated causal explanations for emotion recognition in conversations: a unified LLM framework

Wang, X., Xie, L., Wang, M., & Wang, Z. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.131363 · Cited by 1

Medical related word enhancement framework: A new method for large language model in medical dialogue generation

Liu, Y., Fu, L., & Xia, X. (2026) · Computer Speech & Language · doi:10.1016/j.csl.2026.101949 · Cited by 1

Organisational knowledge sustainability and large language models

BENCSIK, A. (2026) · International journal of organizational analysis · doi:10.1108/ijoa-06-2025-5675 · Cited by 1

Apparel pattern modification guidance of competing LLMs: ChatGPT, Claude and Gemini

Knisely-Medina, A., & Jo, J. (2026) · Research Journal of Textile and Apparel · doi:10.1108/rjta-08-2025-0190 · Cited by 1

Enhancing Gemini for Mental Health Assessments

Adesina, O., Gupta, Y., Olajitan, O., Schınckus, C., & Naeem, F. (2025) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece64018.2025.11364441 · Cited by 1

Empathy by Design: Aligning Large Language Models for Healthcare Dialogue

Umucu, E., Solis, G. R., Garza, L., Rivas, E., Lee, B., Kotal, A., & Piplai, A. (2025) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata66926.2025.11402624 · Cited by 5

Scoping review of AI–chatbots to support family caregivers

Gallagher, V. T., Sheehan, C., Ahmad, A., Ansari, S. M. A., Arp, A., Bell, S. A., Brown, D. E., Cruise, A., Greth, Z., Greer, S. R., et al. (2026) · The Gerontologist · doi:10.1093/geront/gnag028 · Cited by 1

MedChat: a fully offline multimodal AI system for privacy-preserving clinical anamnesis

Ruhland, J. B., Bahcivan, D., Sowa, J., Canbay, A. E., & Heider, D. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1809142 · Cited by 1

Consensus-Level and Cluster-Adjusted Evaluation of a Large Language Model for Diagnostic Extraction from Musculoskeletal Radiology Reports

Bosbach, W. A., Montazeri, E., Senge, J. F., Beisbart, C., Mitrakovic, M., Anderson, S. E., Divjak, E., Ivanac, G., Grieser, T., Weber, M.-A., et al. (2026) · Diagnostics · doi:10.3390/diagnostics16111590 · Cited by 1

Ortopedi ve travmatoloji araştırmalarında yapay zekâ uygulamaları: Doğal dil işleme potansiyeli

Köse, Ö., Yapar, D., & Boz, M. (2024) · Türk Ortopedi ve Travmatoloji Birliği Derneği · doi:10.5578/totbid.dergisi.2024.13 · Cited by 1

The Future of ChatGPT

Barua, D. R., & Datta, S. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-6824-4.ch014 · Cited by 1

How Can Generative AI Enhance Software Management? Is It Better Done than Perfect?

Cabrero‐Daniel, B., Fazelidehkordi, Y., & Nouri, A. (2024) · Springer eBooks · doi:10.1007/978-3-031-55642-5_11 · Cited by 1

Application of Machine Learning and Large Language Model Module for Analyzing Gut Microbiota Data

Cao, J., Xu, X., & Zhang, X. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5689-6_4 · Cited by 1

Technology-Powered Multilingual Professional and Technical Writing: An Integrative Literature Review of Landmark and the Latest Writing Assistance Tools

Sanz-Valdivieso, L. (2024) · IEEE Transactions on Professional Communication · doi:10.1109/tpc.2024.3419288 · Cited by 1

Unfettered ChatGPT Access in First-Year Engineering: Student Usage & Perceptions

Davis, D., Batrouny, N., & Yeaman, A. (2024) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--48202 · Cited by 2

Advances, reception and potential of ChatGPT as a tool for healthcare delivery and research: a systematic review

Singh, N., Neubronner, S., Kanayan, S., Illanes, S. E., Choolani, M. A., & Kemp, M. W. (2025) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2024-173 · Cited by 1

Knowledge, awareness and attitude of healthcare professionals toward the use of ChatGpt: A cross-sectional study

DSouza, H., Mohammed, A., Almuntashiri, A. A. A., Kumar, V., Mulla, M., Khader, A. A., Bhowmick, S., & Gupta, P. (2025) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_1699_24 · Cited by 1

Striking a balance: embracing LLMs while upholding scientific integrity

Ray, P. P. (2023) · Japanese Journal of Radiology · doi:10.1007/s11604-023-01489-w · Cited by 1

Trustworthy Medical Question Answering: An Evaluation-Centric Survey

Wang, Y., Wang, B., Mercer, R. E., Rudzicz, F., Roy, S. S., Ren, P., Chen, Z., & Wang, X. (2025) · arXiv · doi:10.48550/arxiv.2506.03659

Piloting the RAISS tool in the Canadian Context

Wooding, S., & Thompson-Starkey, T. G. (2010)

ANALYSIS OF THE THEORETICAL FOUNDATIONS OF NEURAL NETWORK MODELING OF LANGUAGE UNIT RECOGNITION

Dovhan, O. V. (2023) · Izdevniecība “Baltija Publishing” eBooks · doi:10.30525/978-9934-26-310-1-9

Large Language Models and Creative WritingPreprint

Durai, S. A. (2023) · doi:10.36227/techrxiv.24500524.v1

Large Language Models and Creative WritingPreprint

Durai, S. A. (2023) · doi:10.36227/techrxiv.24500524

Assessment of ChatGPT for Nutrition Advice: A comparative analysis across multiple languages (Preprint)Preprint

Adilmetova, G., Nassyrov, R., Meyerbekova, A., Karabay, A., Varol, H. A., & Chan, M. (2024) · doi:10.2196/preprints.56322

Improving Documentation Quality and Patient Interaction with AI: A Tool for Transforming Medical Records — An Experience ReportPreprint

de Paula, P. A. B., Berger, M. N., Severino, J. V. B., Ribeiro, K. D. P., Loures, F. S., Todeschini, S. A., Roeder, E. A., & Marques, G. L. (2024) · Qeios · doi:10.32388/ffzge5.2

Comparison between ChatGPT 3.0 and Google Gemini Regarding Medicine KnowledgePreprint

Hassan, M. M., & Nohor, N. (2024) · Research Square · doi:10.21203/rs.3.rs-5423066/v1

Analysis of the Integration Strategies of LLM and VLM Models with the Transformer Architecture

Zhang, Y. (2025) · Journal of Computer Science and Artificial Intelligence · doi:10.54097/3fhs5d75

Practical Applications of Large Language Models in Enterprise-Level Applications

Xu, Q. (2025) · Journal of Computer Science and Artificial Intelligence · doi:10.54097/4hnrtz02

Research and Application of Aviation Intelligent Open Source System Based on LLMs

Zhang, X., Han, Y. Q., Lin, P., Xing, C., & Liu, B. (2025) · Lecture notes in mechanical engineering · doi:10.1007/978-981-97-9771-4_34

Measuring the Summarization Capabilities of LLMs Using the ACT Score

Balaji, A., & Greer, R. (2024) · IEEE MIT Undergraduate Research Technology Conference (URTC) · doi:10.1109/urtc65039.2024.10937639

Extracting Health Evidence Information from Biomedical Literature using Large Language Models

Shahid, M. A., Afzal, M., & Şeker, H. (2024) · IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) · doi:10.1109/bdcat63179.2024.00035

Wind Turbine SCADA Data Interpreter Based on Large Language Models

Tang, Y., Fu, J., Cui, Q., Dai, B., & Xiong, J. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-4063-8_52

Cognitive Engagement Analysis in CSCL: Exploring Educational Potential of Generative AI

Jin, M., Park, E. J., & Lim, K. Y. (2025) · The Journal of Korean Association of Computer Education · doi:10.32431/kace.2025.28.4.004

Integrating Large Language Model for Common Criteria Security Document Generation Based on PySide6

Atmaja, B. T., & Chen, J.-L. (2025) · Software Practice and Experience · doi:10.1002/spe.70002

Factors Influencing the Utilization of Large Language Models among Medical Students in Bangladesh: A KAP StudyPreprint

Hossain, M. J., Hassan, M. M., Maruf, M. F. I., & Saha, A. (2025) · Research Square · doi:10.21203/rs.3.rs-6740202/v1

Artificial intelligence as a tool for increasing the efficiency of teaching foreign languages to medical students and their interest in this discipline

Shalavina, A. A., Shevtsova, Y. V., & Владимировна, П. С. (2025) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2025-4471

Misinformation Correction in the Age of Generative Ai: Evaluating User Responses to Health Information Delivered by ChatgptPreprint

Schulz, P. J., Kee, K. M., Anita, S., Soh, A. S., Ong, B. W., Chen, M. I.-C., & Lwin, M. O. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5393504

Analisando a Qualidade e Eficácia de Códigos Gerados por LLMs: Um Estudo com Problemas da Plataforma LeetCode

Aquino, B., Brito, A., Tavares, C. S., Boechat, D., & Batisteli, J. P. O. (2025) · doi:10.5753/vem.2025.14303 · Cited by 1

Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study

de la Cruz, S. A., Arenas-Hernández, P. E., Fernández-Herrera, M. F., Quiñones-Díaz, R. A., Llaca-Díaz, J. M., Díaz‐Chuc, E. A., Robles-Espino, D. G., & Miguel-Garay, E. A. S. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14186676 · Cited by 1

ChatDNA: An End-to-end Genetics Analysis Pipeline with Embedding Databases and Prompt Learning

Luo, S., Yu, A., Zhu, Y., Sun, H., Xie, Z., Guan, Z., Huang, H., Shen, A., Zhang, Q., Yan, M., et al. (2025) · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) · doi:10.1109/aicas64808.2025.11173110

Conscious Distilling: Small Models Achieve Strong Performance in Math QA Tasks

Qin, S., Wang, G., Xiong, X., Tang, Z. G., & Wan, T. (2025) · International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA) · doi:10.1109/caibda65784.2025.11182628

CE-Prompt: enhance prompt expression stability by multiple understanding

Yang, W., Jin, C., Chen, G., & Jin, H. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.3231

A Process for Developing a Traffic Safety Domain Specific Language Model Using Fine-Tuning and RAG

Lee, Y., Kim, Y., Moon, S., Joo, S., Lee, J., & Yun, I. (2025) · The Journal of The Korea Institute of Intelligent Transport Systems · doi:10.12815/kits.2025.24.5.54

Application and Prospect of ChatGPT in Medical Imaging Education

蔡, 一. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.1572005

The Paradox of Artificial Intelligence in Adult Learning: Navigating Opportunity, Anxiety, and Impact Through the Lens of Heidegger

Ellison, M., & Russell, N. (2025) · Journal of Online Graduate Education · doi:10.65201/001c.147362

Evaluating Question Answering Performance of SQuAD-Based LLMs Across Varying Text Lengths

Raj, S., & Srivastava, S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-10940-8_3

Measuring accuracy of AI generated definitions using cosine similarity index across select GPT models

Patra, N., Sharma, S., Ray, N., & Bera, D. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00792-x · Cited by 3

LaDeL: Lane detection via multimodal large language model with visual instruction tuning

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