Cover Image

Instruction Finetuning LLaMA-3-8B Model Using LoRA for Financial Named Entity Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lian, Zhiming
Format:	Preprint
Published:	2026
Subjects:	Computational Finance Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Financial Text Classification Based On rLoRA Finetuning On Qwen3-8B model
by: Lian, Zhiming
Published: (2025)

ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
by: Dialameh, Maryam, et al.
Published: (2025)

LogLLaMA: Transformer-based log anomaly detection with LLaMA
by: Yang, Zhuoyi, et al.
Published: (2025)

AT-MoE: Adaptive Task-planning Mixture of Experts via LoRA Approach
by: Li, Xurui, et al.
Published: (2024)

The Impact of Initialization on LoRA Finetuning Dynamics
by: Hayou, Soufiane, et al.
Published: (2024)

BanglaLlama: LLaMA for Bangla Language
by: Zehady, Abdullah Khan, et al.
Published: (2024)

Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
by: Gupta, Prakhar, et al.
Published: (2026)

FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
by: Wang, Dannong, et al.
Published: (2025)

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
by: Hayou, Soufiane, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
by: Gema, Aryo Pradipta, et al.
Published: (2023)

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
by: Qin, Haotong, et al.
Published: (2024)

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
by: Cui, Yiming, et al.
Published: (2023)

Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA
by: Chen, Shuangyi, et al.
Published: (2024)

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
by: Zhong, Zihan, et al.
Published: (2024)

Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods
by: Kim, Bo-Kyeong, et al.
Published: (2024)

Llamazip: Leveraging LLaMA for Lossless Text Compression and Training Dataset Detection
by: Dréano, Sören, et al.
Published: (2025)

Flexi-LoRA with Input-Adaptive Ranks: Efficient Finetuning for Speech and Reasoning Tasks
by: Li, Zongqian, et al.
Published: (2026)

Dynamic Activation Pitfalls in LLaMA Models: An Empirical Study
by: Ma, Chi, et al.
Published: (2024)

Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026)

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference
by: Kavehzadeh, Parsa, et al.
Published: (2023)

LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
by: Guo, Han, et al.
Published: (2023)

Financial Bond Similarity Search Using Representation Learning
by: Haeri, Amin, et al.
Published: (2026)

Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features
by: Lee, Jewon, et al.
Published: (2025)

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
by: Xia, Mengzhou, et al.
Published: (2023)

360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training
by: Zou, Haosheng, et al.
Published: (2025)

LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024)

Explaining Risks: Axiomatic Risk Attributions for Financial Models
by: Chen, Dangxing
Published: (2025)

Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling
by: Khatuya, Subhendu, et al.
Published: (2024)

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
by: Xu, Ziwen, et al.
Published: (2026)

An empirical study of LLaMA3 quantization: from LLMs to MLLMs
by: Huang, Wei, et al.
Published: (2024)

Financial Fine-tuning a Large Time Series Model
by: Fu, Xinghong, et al.
Published: (2024)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)

The Uniqueness of LLaMA3-70B Series with Per-Channel Quantization
by: Qin, Minghai
Published: (2024)

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems
by: Wu, You, et al.
Published: (2024)

AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing
by: Li, Jiacheng, et al.
Published: (2025)

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)

LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model
by: Salles, Marcel Mateos, et al.
Published: (2025)

Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
by: Huang, Xinyue, et al.
Published: (2025)

I Have No Mouth, and I Must Rhyme: Uncovering Internal Phonetic Representations in LLaMA 3.2
by: McLaughlin, Oliver, et al.
Published: (2025)

A Pretraining-Finetuning Computational Framework for Material Homogenization
by: Wang, Yizheng, et al.
Published: (2024)