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ORCIDFLLM 2024: Dubai, UAE
- 2nd International Conference on Foundation and Large Language Models, FLLM 2024, Dubai, United Arab Emirates, November 26-29, 2024. IEEE 2024, ISBN 979-8-3503-5479-9
- Rand Koualty, Nien-Ying Chou, Suleiman Alabdallah
:
Generative AI Agents, Build a Multilingual ChatGPT-based Customer Service Chatbot. 5-10 - Abdesselam Ferdi, Amir Nakib:
YOLO based Object Detection Enhancement based on Quadratic Convolution. 11-14 - Wissam Bouaraki, Asma Saibi, Yasmine Guerbai, Abdenour Hadid:
Fake News Detection Using Large Language Models and Sentiment Analysis. 15-20 - Jaeyoung Suh, Eunchan Lee, Yohan Jeong, Donggil Park, Sungmin Ahn:
Teaching Large Language Models to Understand Jeju Island with Domain-Adaptive Pretraining. 21-28 - Aaditya Shah, Shridhar Mehendale, Siddha Kanthi:
Efficacy of Large Language Models for Systematic Reviews. 29-35 - Hao Yang, Min Zhang, Jiaxin Guo:
From Scarcity to Sufficiency: Machine Translation Techniques for Low-Resource LLMs Enhancement. 36-41 - Vitor Gaboardi Dos Santos, Boualem Benatallah, Auday Berro, Silvana Togneri MacMahon:
Diverse Utterances Generation with GPT to Improve Task-Oriented Chatbots and APIs Integration. 42-50 - Farida Mohsen, Ali Aldhubri, Md. Rafiul Biswas, Zubair Shah:
A Comparative Evaluation of Artificial Intelligence-Based Models in Retinal Image Synthesis. 51-57 - Faten Slama, Daniel Lemire:
Comparative Analysis of Loop-Free Function Evaluation Using ChatGPT and Copilot with C Bounded Model Checking. 58-65 - Alan F. Smeaton:
Understanding Foundation Models: Are We Back in 1924? 66-72 - Mustafa Tuna, Kristina Schaaff, Tim Schlippe:
Effects of Language- and Culture-Specific Prompting on ChatGPT. 73-81 - Maria Molchanova, Daria Olshevskaya:
Text-based Personality Prediction Using Large Language Models. 82-90 - Artem Lykov, Miguel Altamirano Cabrera, Koffivi Fidèle Gbagbe, Dzmitry Tsetserukou:
Robots can feel: LLM-based Framework for Robot Ethical Reasoning. 91-96 - Bara Samir, Sara Sennouni, Jibouni Ayoub, Hammouch Ahmed:
Brain tumor extraction method using KNN algorithm by the K parameter variation. 97-102 - Sana Saeed, Kashif Bilal, Abdallah Namoun, Isa Ali Ibrahim, Junaid Shuja:
Feature-Centric Mobile Applications Clustering with Generative AI. 103-108 - Sebastian Scholz, Alexander Lawall, Kristina Schaaff:
The Impact of Large Language Models on IT Security in the Corporate Environment. 109-115 - Shahin Mowzoon, Mishkin Faustini:
Introducing LLMScript: A Turing Complete Prompt Based Scripting Language for LLMs with No External Coding Required. 116-124 - Rajesh Pasupuleti, Ravi Vadapalli, Christopher Mader, Norris Timothy:
Popular LLM-Large Language Models in Enterprise Applications. 125-131 - Sulayman K. Sowe, Yongli Mou, Du Cheng, Lingxiao Kong, Alexander Tobias Neumann, Stefan Decker:
Understanding Open Source Large Language Models: An Exploratory Study. 132-140 - Joachim de Curtò, Irene de Zarzà:
Comparative Analysis of Reasoning Capabilities in Foundation Models. 141-149 - Elias Sandner, Bing Hu, Alice Simiceanu, Luca Fontana, Igor Jakovljevic, Andre Henriques, Andreas Wagner, Christian Gütl:
Screening Automation for Systematic Reviews: A 5-Tier Prompting Approach Meeting Cochrane's Sensitivity Requirement. 150-159 - Mohammad Vatani Nezafat, Saeed Samet:
Fake News Detection with Retrieval Augmented Generative Artificial Intelligence. 160-167 - Fatima Qiyam, Yousef Jaradat, Shadi AlZu'bi:
Prompt Engineering in Business Analytics for Next-Gen Digital Banking Services. 168-172 - Nenad Petrovic, Krzysztof Lebioda, Vahid Zolfaghari, André Schamschurko, Sven Kirchner, Nils Purschke, Fengjunjie Pan, Alois Knoll:
LLM-Driven Testing for Autonomous Driving Scenarios. 173-178 - Amina El Ganadi, Sania Aftar, Luca Gagliardelli, Sonia Bergamaschi, Federico Ruozzi:
The Impact of Generative AI on Islamic Studies: Case Analysis of "Digital Muhammad ibn Ismail Al-Bukhari". 179-187 - Hifsa Ghafoor, Rahila Umer, Fatima, Jan Muhammad, Zahid Rauf, Pamir Khan:
Predicting groundwater levels at Colorado state of USA using ARIMA and ANN models. 188-193 - Christos Troussas, Christos Papakostas, Akrivi Krouska, Phivos Mylonas, Cleo Sgouropoulou:
Evaluating ChatGPT-driven Automated Test Generation for Personalized Programming Education. 194-200 - Vladimir Berman, Artem Bazhenov, Sergei Satsevich, Dzmitry Tsetserukou:
MissionGPT: Mission Planner for Mobile Robot based on Robotics Transformer Model. 201-206 - Stanislav Selitskiy, Chihiro Inoue:
Provoking Unstable and Evasive ChatGPT Behaviour with Anti-chain-of-thought: Japanese Rock Song Lyrics Case, A Year Later. 207-215 - Muhammad Sadiq, Ramsha Tariq, Anayat Ullah, Jeneen Panezai:
From Pixels to Paragraphs: Extraction of Text from Medical Reports using LLMs, Systematic Literature Review. 216-228 - Fouad Trad, Ali Chehab:
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction. 229-237 - Lo'ai Tawalbeh, John Franklin, Christian Ramirez, Jonathan Garcia, Abdelrahman Tawalbeh, Fadi Muheidat:
Empowering Cyber Defense by Unveiling AI-Powered Expert Systems and Software Engineering. 238-243 - Wedyan Alsakran, Reham Alabduljabbar:
Exploring the Potential of LLMs and Attributed Prompt Engineering for Efficient Text Generation and Labeling. 244-252 - Elisa Castagnari, Lillian Muyama, Adrien Coulet:
Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia. 253-261 - Siem Hadish, Velibor Bojkovic, Moayad Aloqaily, Mohsen Guizani:
Language Models at the Edge: A Survey on Techniques, Challenges, and Applications. 262-271 - Jocelyn Shuang Ru Teh, Eng Keong Koay, Shin Wei Lim, Kuan Heng Lee, Mee Sim Lai, Meng Siong Lee, Yuan Kuok Nee:
Adaptive Composite Accuracy Scoring for Domainspecific LLM Evaluation. 272-279 - Varsha Yadav, K. Kiran Kumar:
NiftyLLaMA: An open information extraction system integrated with sentiment analysis for Nifty-50 companies using LLaMa-2. 280-283 - Tariq Samarah, Tawfiq Alrawashdeh, Ala Mughaid, Shadi AlZu'bi:
Utilizing LLMs for Enhancing Search Engine Optimization Strategies in Digital Marketing. 284-288 - Gaetano Perrone, Simon Pietro Romano:
Prompt Engineering as Code (PEaC): an approach for building modular, reusable, and portable prompts. 289-294 - Akrivi Krouska, Christos Troussas, Ioannis Voyiatzis, Phivos Mylonas, Cleo Sgouropoulou:
ChatGPT-based Recommendations for Personalized Content Creation and Instructional Design with a Tailored Prompt Generator. 295-299 - Sai Sree Koneru, Jake Cho:
Bridging the Gap: A Comparative Analysis of ICS and IT Datasets for IDS Evaluation. 300-304 - David Thulke, Yingbo Gao, Rricha Jalota, Christian Dugast, Hermann Ney:
Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization. 305-312 - Lynda Djennane, Zsolt T. Kardkovács, Boualem Benatallah, Yacine Gaci, Walid Gaaloul, Zoubeyr Farah:
Empirical Evaluation of Social Bias in Text Classification Systems. 313-321 - Shiva Raj Pokhrel, Anwar Walid:
On Large Language Model Based Joint Source Channel Coding for Semantic Communication. 322-329 - Chiara Michelutti, Jens Eckert, Milko Monecke, Julian Klein, Sabine Glesner:
A Systematic Study on the Potentials and Limitations of LLM-assisted Software Development. 330-338 - Yunjin Kim, Rand Kouatly:
Self-healing automation testing with Selenium and ChatGPT API integration to improve the efficiency of the maintenance. 339-344 - Sulayman K. Sowe, Tobias Kiel, Alexander Tobias Neumann, Yongli Mou, Vassilios Peristeras, Stefan Decker:
The Design and Implementation of APLOS: An Automated PoLicy DOcument Summarisation System. 345-356 - Faiza Belbachir, Assia Soukane:
Enhancing Named Entity Recognition in Arabic: Leveraging Transformer-Based Models and Open Data Sources. 357-361 - Kuan Heng Lee, Mee Sim Lai, Shin Wei Lim, Jocelyn Shuang Ru Teh, Syafie Nizam, Yuan Kuok Nee, Eng Keong Koay, Meng Siong Lee:
Methodologies for Selecting Optimal Hardware for Locally Deployed LLMs Using a Performance, Accuracy and Cost (PAC) Approach. 362-369 - William Brach, Kristián Kostál, Michal Ries:
Can Large Language Model Detect Plagiarism in Source Code? 370-377 - Sabine Kugler, Dario Antweiler, Benny Stein:
From Rehab to Recap: Generating Discharge Reports for Rehabilitation Clinics with LLMs. 378-384 - Julia Gehrmann, Lars Quakulinski, Oya Beyan:
Large Language Models for Literature Reviews - An Exemplary Comparison of LLM-based Approaches with Manual Methods. 385-391 - Artem Lykov, Dzmitry Tsetserukou:
LLM-BRAIn: AI-driven Fast Generation of Robot Behaviour Tree based on Large Language Model. 392-397 - Olga Sorokoletova, Emanuele Antonioni, Giordano Colò:
Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction. 398-406 - Mohammed A. Shehab, Mohammad Wardat, Safwan Omari, Yaser Jararweh:
Evaluating Large Language Models for Code Generation: Assessing Accuracy, Quality, and Performance. 407-416 - Raghad J. AbuNasser, Mostafa Z. Ali, Yaser Jararweh, Mustafa Daraghmeh, Talal Z. Ali:
Large Language Models in Drug Discovery: A Comprehensive Analysis of Drug-Target Interaction Prediction. 417-431 - Fatima Qiyam, Yousef Jaradat, Shadi AlZu'bi:
Prompt Engineering in Business Analytics for Next-Gen Digital Banking Services. 432-436 - Vahid Zolfaghari, Nenad Petrovic, Fengjunjie Pan, Krzysztof Lebioda, Alois Knoll:
Adopting RAG for LLM-Aided Future Vehicle Design. 437-442 - Yongli Mou, Hanbin Chen, Gwendolyn Isabella Lode, Daniel Truhn, Sulayman K. Sowe, Stefan Decker:
RadLink: Linking Clinical Entities from Radiology Reports. 443-449 - Abdallah Alshawabkeh, Abdulla Hassooni, Faten F. Kharbat, Sahel Alouneh:
Detecting Academic Misconduct: A BERT-Based Approach to Identifying ChatGPT-Generated Content. 450-455 - Tristan Kenneweg, Philip Kenneweg, Barbara Hammer:
When to Inject? Investigating Different Metrics for Conditional Context Injection in LLMs. 456-461 - Hadel Alhawasi, Abdou Youssef:
Using LLMs for Evaluating QA Systems: Exploration and Assessment. 462-469 - Tristan Kenneweg, Philip Kenneweg, Barbara Hammer:
RAGVAL: Automatic Dataset Creation and Evaluation for RAG Systems. 470-475 - Matthew Renze, Erhan Guven:
The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models. 476-483 - Alexey Sulavko, Yuri Varkentin, Irina Panfilova, Alexander Samotuga:
Automatic classification of text messages by confidentiality level based on ensemble of artificial neural networks. 484-492 - Yoonjeong Park, Hyunjin Kim, Chanyeol Choi, Junseong Kim, Jy-yong Sohn:
Can Separators Improve Chain-of-Thought Prompting? 493-500 - Ziang Guo, Zakhar Yagudin, Artem Lykov, Mikhail Konenkov, Dzmitry Tsetserukou:
VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes. 501-507 - Sulaiman Khan, Fathima Farha, Manahil Zulfiqar, Md. Rafiul Biswas, Zubair Shah:
Histopathological Analysis of Ovarian Cancer Using Deep Learning. 508-515 - Matthew Renze, Erhan Guven:
Self-Reflection in Large Language Model Agents: Effects on Problem-Solving Performance. 516-525 - Lewen Yang, Xuanyu Zhou, Juao Fan, Xinyi Xie, Shengxin Zhu:
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models? 526-534 - Haruno Fusa, Chonho Lee, Sakuei Onishi, Hiromitsu Shiina:
Metric for Evaluating Stable Diffusion Models Using Attention Maps. 535-541 - Javier Osorio, Sultan Alsarra, Amber Converse, Afraa Alshammari, Dagmar Heintze, Latifur Khan, Naif Alatrush, Patrick T. Brandt, Vito D'Orazio, Niamat Zawad, Mahrusa Billah:
Keep it Local: Comparing Domain-Specific LLMs in Native and Machine Translated Text using Parallel Corpora on Political Conflict. 542-552 - Akshar Patel:
Evaluating Robustness of Neural Networks on Rotationally Disrupted Datasets for Semantic Segmentation. 553-560 - Amenah Misfer Alshahrani, Hafiz Farooq Ahmad, Jamil Hussain:
Detecting Health Misinformation on Social Networking Sites Using Large Language Models and Deep Learning-based Natural Language Processing. 561-568 - Faiza Loukil, Sarah Cadereau, Hervé Verjus, Mattéo Galfre, Kavé Salamatian, David Telisson, Quentin Kembellec, Olivier Le Van:
LLM-centric pipeline for information extraction from invoices. 569-575 - Shahad Alkamli, Maha Al-Yahya, Khulood Alyahya:
Ethical and Legal Considerations of Large Language Models: A Systematic Review of the Literature. 576-586 - Ben Koska, Mojmír Horváth:
Towards Multi-Modal Mastery: A 4.5B Parameter Truly Multi-Modal Small Language Model. 587-592 - Purva Prasad Gosavi, Vaishnavi Murlidhar Kulkarni, Alan F. Smeaton:
Capturing Bias Diversity in LLMs. 593-598 - Tarun Mahesh:
Investigating Social Bias in GPT-4: A Study on Race Representation. 599-606 - Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu:
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation. 607-611
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last updated on 2025-04-27 17:50 CEST by the dblp team
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