2 papers
q-fin.TR2026
MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models
Yurii Kvasiuk, Tianyi Li, Owen Colegrove +1
We explore the application of LLM-driven algorithm optimization to several common tasks in quantitative finance. MadEvolve, a general-purpose algorithm optimization framework inspi…
cs.LG2025
Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench Dataset
Zhiqi Gao, Tianyi Li, Yurii Kvasiuk +5
Large language models (LLMs) have shown strong capabilities in complex reasoning, and test-time scaling techniques can enhance their performance with comparably low cost. Many of t…