Cover Image

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gupta, Pankaj, Bose, Kartik
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
by: Arabpour, Reza, et al.
Published: (2025)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)

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

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)

DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)

Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
by: Barazandeh, Babak, et al.
Published: (2025)

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning
by: Rüdiger, Sten, et al.
Published: (2026)

HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
by: Trojan, Bartosz, et al.
Published: (2026)

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)

Text to Trust: Evaluating Fine-Tuning and LoRA Trade-offs in Language Models for Unfair Terms of Service Detection
by: Juttu, Noshitha Padma Pratyusha, et al.
Published: (2025)

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
by: Fleshman, William, et al.
Published: (2025)

Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection
by: Yang, Ziyu, et al.
Published: (2026)

A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
by: Zhang, Jun, et al.
Published: (2025)

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024)

LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
by: Vulić, Ivan, et al.
Published: (2026)

Enhancing Aviation Communication Transcription: Fine-Tuning Distil-Whisper with LoRA
by: Mirzaei, Shokoufeh, et al.
Published: (2025)

FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
by: Bian, Jieming, et al.
Published: (2025)

A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)

Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
by: Zou, Junyi
Published: (2026)

Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA
by: Yang, Nuocheng, et al.
Published: (2026)

R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025)

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
by: Yang, Shiyi, et al.
Published: (2025)

Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)

Improving LoRA with Variational Learning
by: Cong, Bai, et al.
Published: (2025)

LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
by: Bałazy, Klaudia, et al.
Published: (2024)

Tina: Tiny Reasoning Models via LoRA
by: Wang, Shangshang, et al.
Published: (2025)

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
by: Xiao, Yicheng, et al.
Published: (2025)

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

LoRA Learns Less and Forgets Less
by: Biderman, Dan, et al.
Published: (2024)

LoRA Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
by: Lee, Yu-Ang, et al.
Published: (2026)

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
by: Zhang, Linhai, et al.
Published: (2024)

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
by: Li, Jiaang, et al.
Published: (2024)

LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
by: Seregina, Irina, et al.
Published: (2025)