Newman-Griffis D.
(2025). AI Thinking: a framework for rethinking artificial intelligence in practice. Royal Society Open Science. 10.1098/rsos.241482. 12:1. Online publication date: 1-Jan-2025.
Yu L, Alégroth E, Chatzipetrou P and Gorschek T.
(2025). Experience with Large Language Model Applications for Information Retrieval from Enterprise Proprietary Data. Product-Focused Software Process Improvement. 10.1007/978-3-031-78386-9_7. (92-107).
Beckhauser W and Fileto R.
(2025). Financial News Classification Using Language Learning Models and Reinforcement Learning. Information Integration and Web Intelligence. 10.1007/978-3-031-78090-5_3. (32-37).
Abdollahi M, Yeganli S, Baharloo M and Baniasadi A.
(2024). Hardware Design and Verification with Large Language Models: A Scoping Review, Challenges, and Open Issues. Electronics. 10.3390/electronics14010120. 14:1. (120).
Huang Y, Zhou C, Zhang L and Lu X.
(2024). A Self-Rewarding Mechanism in Deep Reinforcement Learning for Trading Strategy Optimization. Mathematics. 10.3390/math12244020. 12:24. (4020).
Shaikh T, Rasool T, Veningston K and Yaseen S.
(2024). The role of large language models in agriculture: harvesting the future with LLM intelligence. Progress in Artificial Intelligence. 10.1007/s13748-024-00359-4.
Dong M, Stratopoulos T and Wang V.
(2024). A scoping review of ChatGPT research in accounting and finance. International Journal of Accounting Information Systems. 10.1016/j.accinf.2024.100715. 55. (100715). Online publication date: 1-Dec-2024.
Kumar B and Ahmed M.
(2024). Beyond Clouds: Locally Runnable LLMs as a Secure Solution for AI Applications. Digital Society. 10.1007/s44206-024-00141-y. 3:3. Online publication date: 1-Dec-2024.
Yao C and Fujita S.
(2024). Adaptive Control of Retrieval-Augmented Generation for Large Language Models Through Reflective Tags. Electronics. 10.3390/electronics13234643. 13:23. (4643).
Cao Y, Chen Z, Pei Q, Lee N, Subbalakshmi K and Ndiaye P. ECC Analyzer: Extracting Trading Signal from Earnings Conference Calls using Large Language Model for Stock Volatility Prediction. Proceedings of the 5th ACM International Conference on AI in Finance. (257-265).
Zhu F, Liu Z, Feng F, Wang C, Li M and Chua T. TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. Proceedings of the 5th ACM International Conference on AI in Finance. (310-318).
Coelho e Silva L, Fonseca G and Castro P. Transformers and attention-based networks in quantitative trading: a comprehensive survey. Proceedings of the 5th ACM International Conference on AI in Finance. (822-830).
Lin S, Wang K and Liu X. Analyzing Cascading Outbreak of GameStop Event: A Practical Approach Using Network Analysis and Large Language Models. Proceedings of the 5th ACM International Conference on AI in Finance. (428-436).
Golgoon A, Filom K and Ravi Kannan A. Mechanistic interpretability of large language models with applications to the financial services industry. Proceedings of the 5th ACM International Conference on AI in Finance. (660-668).
Teng L, Liu Y, Liu J and Song L.
(2024). End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). 10.1109/WF-IoT62078.2024.10811144. 979-8-3503-7301-1. (1-6).
Wang Z, Chu Z, Doan T, Ni S, Yang M and Zhang W.
(2024). History, development, and principles of large language models: an introductory survey. AI and Ethics. 10.1007/s43681-024-00583-7.
Lin Q, Liu L, Zhu H, Tong H and Zhang C.
(2024). EFSC: an Efficient, Flexible and Secure Trading System for Computing Power Network 2024 IEEE 49th Conference on Local Computer Networks (LCN). 10.1109/LCN60385.2024.10639684. 979-8-3503-8800-8. (1-7).
Fu Y, Zhou M and Zhang L.
(2024). DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom). 10.1109/MetaCom62920.2024.00025. 979-8-3315-1599-7. (73-80).
Arora N, Chakraborty I and Nishimura Y.
(2024). EXPRESS: AI-Human Hybrids for Marketing Research: Leveraging LLMs as Collaborators. Journal of Marketing. 10.1177/00222429241276529.
Wu D, Wang X, Qiao Y, Wang Z, Jiang J, Cui S and Wang F. NetLLM: Adapting Large Language Models for Networking. Proceedings of the ACM SIGCOMM 2024 Conference. (661-678).
Janowski A and Renigier-Bilozor M.
(2024). HELIOS Approach: Utilizing AI and LLM for Enhanced Homogeneity Identification in Real Estate Market Analysis. Applied Sciences. 10.3390/app14146135. 14:14. (6135).
Bhargava U, Teresha Y, Koul N and Chavan C.
(2024). Overcoming the Challenges of Large Language Models: Introducing a Novel Proposition for Synthetic Data Validation 2024 IEEE 7th International Conference on Big Data and Artificial Intelligence (BDAI). 10.1109/BDAI62182.2024.10692968. 979-8-3503-5200-9. (290-295).
Napoli E, Barbàra F, Gatteschi V and Schifanella C.
(2024). Leveraging Large Language Models for Automatic Smart Contract Generation 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). 10.1109/COMPSAC61105.2024.00100. 979-8-3503-7696-8. (701-710).
Daryani M and Poradish S.
(2024). asTech Insights: The GenAI approach to Customized Collision Repair Recommendations 2024 IEEE Intelligent Vehicle Symposium (IV). 10.1109/IV55156.2024.10588733. 979-8-3503-4881-1. (1921-1926).
Gramberg T, Bauernhansl T and Eggert A.
(2024). Disruptive Factors in Product Portfolio Management: An Exploratory Study in B2B Manufacturing for Sustainable Transition. Sustainability. 10.3390/su16114402. 16:11. (4402).
Sarker I.
(2024). LLM potentiality and awareness: a position paper from the perspective of trustworthy and responsible AI modeling. Discover Artificial Intelligence. 10.1007/s44163-024-00129-0. 4:1.
Chatzigeorgakidis G, Lentzos K and Skoutas D.
(2024). MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW). 10.1109/ICDEW61823.2024.00022. 979-8-3503-8403-1. (119-127).
Ghodake M, Misal P, Tendulkar T and Hiray S.
(2024). Mutual Fund Analysis Using Large Language Model 2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon). 10.1109/MITADTSoCiCon60330.2024.10574999. 979-8-3503-6287-9. (1-5).
Worledge T, Shen J, Meister N, Winston C and Guestrin C.
(2024). Unifying Corroborative and Contributive Attributions in Large Language Models 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML). 10.1109/SaTML59370.2024.00039. 979-8-3503-4950-4. (665-683).
Friha O, Amine Ferrag M, Kantarci B, Cakmak B, Ozgun A and Ghoualmi-Zine N. LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness. IEEE Open Journal of the Communications Society. 10.1109/OJCOMS.2024.3456549. 5. (5799-5856).
Ha T. Generating Plausible and Context-Appropriate Comments on Social Media Posts: A Large Language Model-Based Approach. IEEE Access. 10.1109/ACCESS.2024.3488903. 12. (161545-161556).
Sanchit , Bhattacharjee S and Pandhare V.
(2024). Deriving inferences through natural language from structured datasets for asset lifecycle management. IFAC-PapersOnLine. 10.1016/j.ifacol.2024.08.064. 58:8. (145-150).
Jiang H, Ding Y, Chen R and Fan C.
(2024). Carbon Price Forecasting with LLM-Based Refinement and Transfer-Learning. Artificial Neural Networks and Machine Learning – ICANN 2024. 10.1007/978-3-031-72356-8_10. (139-154).