On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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5 results for “QLoRA”

RFX: High-Performance Random Forests with GPU Acceleration and QLORA Compressioncs.LG

RFX accelerates and compresses Random Forests for large datasets.

problem Memory bottleneck in proximity matrices limits Random Forest analysis.

method QLORA compression, CPU TriBlock storage, GPU batch sizing, 3D MDS visualization.

result Proximity-based Random Forest analysis on larger datasets is feasible.

Random Forests GPU acceleration compression memory bottleneck quantization

2025-11-23abs ↗pdf ↗

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approachq-fin.CP

Advanced AI model predicts stock movements post earnings reports.

problem Inaccurate stock predictions from earnings reports.

method Fine-tuned LLMs with QLoRA compression, integrating financial and market data.

result Significantly improved predictive accuracy compared to benchmarks.

stock prediction earnings reports LLMs QLoRA financial data

2024-08-13abs ↗pdf ↗

Spectrum: Targeted Training on Signal to Noise Ratiocs.LG

Spectrum selectively trains LLMs based on SNR to save resources.

problem Efficiently training large language models with limited resources.

method Targeting layer modules based on SNR for selective training.

result Spectrum achieves similar performance to full fine-tuning but with reduced VRAM usage.

large language models SNR selective training VRAM efficiency distributed environments

2024-06-07abs ↗pdf ↗

The Unreasonable Ineffectiveness of the Deeper Layerscs.CL

Study shows LLMs can remove half of layers without significant performance drop.

problem Understanding knowledge storage in LLMs' weights.

method Layer pruning and finetuning to identify and remove unnecessary parameters.

result Minimal degradation of performance after removing up to half of layers.

LLMs Layer pruning Knowledge storage Deeper layers Quantization

2024-03-26abs ↗pdf ↗

FinGPT: Democratizing Internet-scale Data for Financial Large Language Modelscs.CL

FinGPT democratizes financial data for LLMs, enabling innovation.

problem Limited financial text datasets and disparities between general and financial text data.

method Automates collection and curation of real-time financial data from diverse Internet sources, fine-tuning with RLSP and LoRA.

result Democratizes access to financial data for LLMs, enabling innovation.

Financial LLMs Data democratization Reinforcement Learning Low-rank Adaptation Robo-advisor

2023-07-19abs ↗pdf ↗