Financial Text Classification Based On rLoRA Finetuning On Qwen3-8B model

By Zhiming Lian

Published 2025-07-14

Everscope rating

1447

Relevance to quantitative trading

8 / 10

Implementation complexity

5 / 10

Reproducibility

3 / 5

About this paper

Methodology: rLoRA Fine-tuning with NEFTune and FlashAttention. Problem types: Classification, Natural Language Processing, Transfer Learning.

arXiv:2512.00630 · Paper rankings

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