Cover Image

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dima, George-Andrei, Cercel, Dumitru-Clementin
Format:	Preprint
Published:	2025
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

RoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romanian
by: Timpuriu, Mircea, et al.
Published: (2026)

RoQLlama: A Lightweight Romanian Adapted Language Model
by: Dima, George-Andrei, et al.
Published: (2024)

Air Pollution Forecasting in Bucharest
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)

Multimodal Learning with Augmentation Techniques for Natural Disaster Assessment
by: Urse, Adrian-Dinu, et al.
Published: (2025)

RoCoISLR: A Romanian Corpus for Isolated Sign Language Recognition
by: Rîpanu, Cătălin-Alexandru, et al.
Published: (2025)

MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
by: Smădu, Răzvan-Alexandru, et al.
Published: (2025)

Investigating the Impact of Semi-Supervised Methods with Data Augmentation on Offensive Language Detection in Romanian Language
by: Nicola, Elena-Beatrice, et al.
Published: (2024)

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering
by: Crăciun, Cristian-George, et al.
Published: (2024)

Parameter Efficient Instruction Tuning: An Empirical Study
by: He, Pengfei
Published: (2024)

MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language
by: Avram, Andrei-Marius, et al.
Published: (2025)

Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)

RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
by: Man, Andrei Vlad, et al.
Published: (2025)

Building Large-Scale English-Romanian Literary Translation Resources with Open Models
by: Nadas, Mihai, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning for Foundation Models
by: Zhang, Dan, et al.
Published: (2025)

Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023)

Instruction Tuning for Large Language Models: A Survey
by: Zhang, Shengyu, et al.
Published: (2023)

Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
by: Li, Ming, et al.
Published: (2024)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
by: Xiao, Yuxin, et al.
Published: (2024)

RoIt-XMASA: Multi-Domain Multilingual Sentiment Analysis Dataset for Romanian and Italian
by: Avram, Andrei-Marius, et al.
Published: (2026)

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
by: Chang, Aofei, et al.
Published: (2024)

SaRoHead: Detecting Satire in a Multi-Domain Romanian News Headline Dataset
by: Vîrlan, Mihnea-Alexandru, et al.
Published: (2025)

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
by: Wu, Xuansheng, et al.
Published: (2023)

Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
by: Wang, Luping, et al.
Published: (2024)

Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
by: Hui, Tingfeng, et al.
Published: (2024)

Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction
by: Vuong, An, et al.
Published: (2025)

Fine-Tuning a Time Series Foundation Model with Wasserstein Loss
by: Chernov, Andrei
Published: (2024)

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
by: Gao, Ziqi, et al.
Published: (2024)

Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
by: Ren, Weijieying, et al.
Published: (2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
by: Lingam, Vijay, et al.
Published: (2024)

Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning, and Data Augmentation
by: Matei, Vlad-Cristian, et al.
Published: (2024)

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
by: Wang, Taowen, et al.
Published: (2024)

Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2024)

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning
by: Luo, Run, et al.
Published: (2025)

A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian
by: Rogoz, Ana-Cristina, et al.
Published: (2025)

Contrastive Instruction Tuning
by: Yan, Tianyi Lorena, et al.
Published: (2024)

MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
by: Köksal, Abdullatif, et al.
Published: (2024)

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers
by: Pathak, Harsh Nilesh, et al.
Published: (2025)

Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications
by: Balne, Charith Chandra Sai, et al.
Published: (2024)

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
by: Ma, Xinyu, et al.
Published: (2024)