55 citations · 93 across the 18 of their papers we have counts for
5 papers · 1 filter
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
Jian Guo, Saizhuo Wang, Yiyan Qi
Multi-stage decision-making is crucial in various real-world artificial intelligence applications, including recommendation systems, autonomous driving, and quantitative investment…
Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
Xiaojun Wu, Junxi Liu, Huanyi Su +10
As large language models (LLMs) increasingly permeate the financial sector, there is a pressing need for a standardized method to comprehensively assess their performance. Existing…
DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction
Jianyuan Zhong, Zhijian Xu, Saizhuo Wang +3
In quantitative investment, constructing characteristic-sorted portfolios is a crucial strategy for asset allocation. Traditional methods transform raw stock data of varying freque…
Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
Hang Yuan, Saizhuo Wang, Jian Guo
Recently, we introduced a new paradigm for alpha mining in the realm of quantitative investment, developing a new interactive alpha mining system framework, Alpha-GPT. This system…
QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model
Saizhuo Wang, Hang Yuan, Lionel M. Ni +1
Autonomous agents based on Large Language Models (LLMs) that devise plans and tackle real-world challenges have gained prominence.However, tailoring these agents for specialized do…