Papers by Jennifer Rabowsky

Copied to clipboard

Challenge:	Recent advances in Large Language Models (LLMs) have opened up promising new avenues by enhancing reasoning and inference capabilities across diverse data and information sources.
Approach:	They propose a multi-agent framework that facilitates mathematical modeling and data analytics by dynamically generating executable code.
Outcome:	The proposed framework outperforms existing models on portfolio management tasks and provides human-readable explanations for its predictions.