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Large Language Models in Finance: A Survey

Citations

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Cited by:

  1. Matthew Francis Dixon, 2026. "Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation," Papers 2606.17383, arXiv.org.
  2. Haoyi Zhang & Tianyi Zhu, 2025. "Neither Consent nor Property: A Policy Lab for Data Law," Papers 2510.26727, arXiv.org, revised Apr 2026.
  3. Han Ding & Yinheng Li & Junhao Wang & Hang Chen & Doudou Guo & Yunbai Zhang, 2024. "Large Language Model Agent in Financial Trading: A Survey," Papers 2408.06361, arXiv.org, revised Mar 2026.
  4. Benjamin Coriat & Eric Benhamou, 2025. "HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization," Papers 2507.18560, arXiv.org.
  5. Xiaozheng Du & Shijing Hu & Feng Zhou & Cheng Wang & Binh Minh Nguyen, 2025. "FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model," Future Internet, MDPI, vol. 17(1), pages 1-24, January.
  6. Samuel King Opoku & Asare Yaw Obeng & Eric Yaw Agbezuge & Mavis Sarah Gyimah & Umar Farouk Ibn Abdulrahman & Mercy Vicentia Adu-Gyamfi, 2025. "Integrating Classical Classifiers, Explainable AI and Transformer Models for Financial Headline Sentiment and Summarisation," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 9(6), pages 88-96, November.
  7. Marcin Andrzejewski & Nina Dubicka & Jędrzej Podolak & Marek Kowal & Jakub Siłka, 2025. "Automated Test Generation Using Large Language Models," Data, MDPI, vol. 10(10), pages 1-20, September.
  8. Tianyi Zhang & Mu Chen, 2025. "Personalized Chain-of-Thought Summarization of Financial News for Investor Decision Support," Papers 2511.05508, arXiv.org, revised Nov 2025.
  9. Ravish Gupta & Saket Kumar, 2026. "Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis of Emerging Labor Market Disruption," Papers 2604.00186, arXiv.org.
  10. Joel R. Bock, 2024. "Generating long-horizon stock "buy" signals with a neural language model," Papers 2410.18988, arXiv.org.
  11. Fabrizio Dimino & Bhaskarjit Sarmah & Stefano Pasquali, 2026. "Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services," Papers 2603.10807, arXiv.org, revised Aug 2026.
  12. Simeon Allmendinger & Lukas Bonenberger & Kathrin Endres & Dominik Fetzer & Henner Gimpel & Niklas Kühl, 2026. "Multi-agent AI," Electronic Markets, Springer;IIM University of St. Gallen, vol. 36(1), pages 1-18, December.
  13. Wang, Lu & Yan, Junbo & Yan, Jiang & Liu, Yan, 2026. "Towards intelligent safety assessment under blast loading: A large language model-powered multi-agent framework," Reliability Engineering and System Safety, Elsevier, vol. 272(P2).
  14. Hongshen Sun & Juanjuan Zhang, 2025. "From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research," Papers 2512.23184, arXiv.org.
  15. Teppo Felin & Matthias Holweg, 2024. "Theory Is All You Need: AI, Human Cognition, and Causal Reasoning," Strategy Science, INFORMS, vol. 9(4), pages 346-371, December.
  16. Karmaker, Ashish Kumar & Sturmberg, Bjorn & Behrens, Sam & Pota, Hemanshu Roy, 2025. "Customer-centric meso-level planning for electric vehicle charger distribution," Applied Energy, Elsevier, vol. 389(C).
  17. Jinzhong Xu & Junyi Gao & Xiaoming Liu & Guan Yang & Jie Liu & Yang Long & Ziyue Huang & Kai Yang, 2025. "CPEL: A Causality-Aware, Parameter-Efficient Learning Framework for Adaptation of Large Language Models with Case Studies in Geriatric Care and Beyond," Mathematics, MDPI, vol. 13(15), pages 1-24, July.
  18. Mehmet Caner & Agostino Capponi & Nathan Sun & Jonathan Y. Tan, 2026. "Designing Agentic AI-Based Screening for Portfolio Investment," Papers 2603.23300, arXiv.org, revised Aug 2026.
  19. Antoine Kazadi Kayisu & Miroslava Mikusova & Pitshou Ntambu Bokoro & Kyandoghere Kyamakya, 2024. "Exploring Smart Mobility Potential in Kinshasa (DR-Congo) as a Contribution to Mastering Traffic Congestion and Improving Road Safety: A Comprehensive Feasibility Assessment," Sustainability, MDPI, vol. 16(21), pages 1-53, October.
  20. Anna Nesvijevskaia, 2025. "Sustaining the practitioners’ tacit knowledge in the age of Artificial Intelligence: new challenges emerging through multiple case study [La pérennisation du savoir tacite des acteurs métier à l’ère de l’Intelligence Artificielle : émergence d’enj," Post-Print hal-05413113, HAL.
  21. Wentao Xu & Kazutoshi Sasahara, 2026. "Domain-based user embedding for competing events on social media," Journal of Computational Social Science, Springer, vol. 9(1), pages 1-22, February.
  22. Weixian Waylon Li & Hyeonjun Kim & Mihai Cucuringu & Tiejun Ma, 2025. "Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?," Papers 2505.07078, arXiv.org, revised Jun 2026.
  23. Gavin Shaddick & David Topping & Tristram C. Hales & Usama Kadri & Joanne Patterson & John Pickett & Ioan Petri & Stuart Taylor & Peiyuan Li & Ashish Sharma & Venkat Venkatkrishnan & Abhinav Wadhwa & , 2025. "Data Science and AI for Sustainable Futures: Opportunities and Challenges," Sustainability, MDPI, vol. 17(5), pages 1-20, February.
  24. Yangrui Yang & Pengfei Wang & Xuemei Liu & Wenyu Luo & Libo Yang, 2025. "A Multi-Agent and GraphRAG-Based Framework for Operation and Management Decision-Making in Hydraulic Projects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(14), pages 7665-7687, November.
  25. Tirulo, Aschalew & Yadav, Monika & Lolamo, Mathewos & Chauhan, Siddhartha & Siano, Pierluigi & Shafie-khah, Miadreza, 2026. "Beyond automation: Unveiling the potential of agentic intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PA).
  26. Jimin Huang & Mengxi Xiao & Dong Li & Zihao Jiang & Yuzhe Yang & Yifei Zhang & Lingfei Qian & Yan Wang & Xueqing Peng & Yang Ren & Ruoyu Xiang & Zhengyu Chen & Xiao Zhang & Yueru He & Weiguang Han & S, 2024. "Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications," Papers 2408.11878, arXiv.org, revised Jun 2025.
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