Debiasing LLMs by Fine-tuning

By Zhenyu Gao, Wenxi Jiang, Yutong Yan

Published 2026-04-01

Everscope rating

1850.4

Relevance to quantitative trading

8 / 10

Implementation complexity

4 / 10

Reproducibility

4 / 5

About this paper

Methodology: Supervised Fine-Tuning with Low-Rank Adaptation (SFT-LoRA). Problem types: Time Series Forecasting, Regression, Transfer Learning.

arXiv:2604.02921 · Code · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.