most citedFinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2026

Demystifying Low-Rank Knowledge Distillation in Large Language Models: Convergence, Generalization, and Information-Theoretic Guarantees

Alberlucia Rafael Soarez, Daniel Kim, Mariana Costa +1

Knowledge distillation has emerged as a powerful technique for compressing large language models (LLMs) into efficient, deployable architectures while preserving their advanced cap…

cs.LG2025★ 2 cited

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

Dannong Wang, Daniel Kim, Bo Jin +4

Finetuned large language models (LLMs) have shown remarkable performance in financial tasks, such as sentiment analysis and information retrieval. Due to privacy concerns, finetuni…