8 citations · 8 across the 4 of their papers we have counts for
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math.OC2023
Optimize-via-Predict: Realizing out-of-sample optimality in data-driven optimization
Gar Goei Loke, Taozeng Zhu, Ruiting Zuo
We examine a stochastic formulation for data-driven optimization wherein the decision-maker is not privy to the true distribution, but has knowledge that it lies in some hypothesis…
cs.CL2023★ 8 cited
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
Haohan Zhang, Fengrui Hua, Chengjin Xu +3
The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies. LLMs excel in analyzing sentiments a…