Instruction Tuning Chronologically Consistent Language Models

By Songrun He, Linying Lv, Asaf Manela, Jimmy Wu

Published 2025-11-17

Everscope rating

1462.5

Relevance to quantitative trading

9 / 10

Implementation complexity

4 / 10

Reproducibility

5 / 5

About this paper

Methodology: Chronologically Consistent Instruction Finetuning. Problem types: Natural Language Processing, Classification, Time Series Forecasting, Portfolio Optimization, Causal Inference.

arXiv:2510.11677 · Code · Paper rankings

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