From the 1 of 4 linked papers with an AI index.
4 papers
XALPHA: A Memory-Driven AI Quant Researcher for Hypothesis-to-Code Alpha Discovery
Fengyuan Liu, Yuchen Fu, Yuqi Wang +1
XAlpha is a memory‑driven AI system that automates the full hypothesis‑to‑code loop for discovering trading alphas, integrating financial knowledge, generating factor code, and lea…
Cognitive Alpha Mining via LLM-Driven Code-Based Evolution
Fengyuan Liu, Yi Huang, Sichun Luo +6
Discovering effective predictive signals, or "alphas," from financial data with high dimensionality and extremely low signal-to-noise ratio remains a difficult open problem. Despit…
Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models
Yibin Zhao, Fangxin Shang, Dingrui Yang +1
Table question answering requires models to recover semantic relations encoded implicitly by two-dimensional layout, merged cells, and hierarchical headers. Current pipelines typic…
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining
Yazheng Yang, Yuqi Wang, Yaxuan Li +4
In the domain of data science, the predictive tasks of classification, regression, and imputation of missing values are commonly encountered challenges associated with tabular data…