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Financial decision-making requires processing vast amounts of real-time information while understanding their complex temporal relationships.
“Challenges in web search engines,”
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Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, and Shaoping Ma, · 2019
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Oghenemaro Anuyah, Ashlee Milton, Michael Green, and Maria Soledad Pera, · 2020
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“A stock market trends analysis of reliance using machine learning techniques,”
Vineet Kukreti, Chandradeep Bhatt, and Rakesh Dani, · 2023
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“Real-time online stock forecasting utilizing integrated quantitative and qualitative analysis,” 2023
Sai Akash Bathini and Dagli Cihan, · 2023
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“Large language models for information retrieval: A survey,” 2023
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“Real-time analytics in financial market forecasting: A big data approach,”
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“When search engine services meet large language models: Visions and challenges,” 2024
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, and Sumi Helal, · 2024
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Jize Wang, Zerun Ma, Yining Li, Songyang Zhang, Cailian Chen, Kai Chen, and Xinyi Le, · 2024
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