Papers by Xujia Li

1 papers
Automate Strategy Finding with LLM in Quant Investment (2025.findings-emnlp)

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Challenge: Experimental results demonstrate robust performance of the strategy in Chinese & US market regimes compared to established benchmarks.
Approach: They propose a framework leveraging Large Language Models within a risk-aware multi-agent system for automate strategy finding in quantitative finance.
Outcome: The proposed framework outperforms all benchmarks in Chinese & US market regimes with 53.17% cumulative return on SSE50.

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