SemiAdapt and SemiLoRA: Efficient Domain Adaptation for Transformer-based Low-Resource Language Translation with a Case Study on Irish
Fuente:
arXiv
Guardado en:
| Autores principales: | McGiff, Josh, Nikolov, Nikola S. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review
por: McGiff, Josh, et al.
Publicado: (2025)
por: McGiff, Josh, et al.
Publicado: (2025)
Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional models for homophobic content identification on X/Twitter
por: McGiff, Josh, et al.
Publicado: (2024)
por: McGiff, Josh, et al.
Publicado: (2024)
Irish-BLiMP: A Linguistic Benchmark for Evaluating Human and Language Model Performance in a Low-Resource Setting
por: McGiff, Josh, et al.
Publicado: (2025)
por: McGiff, Josh, et al.
Publicado: (2025)
Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir
por: Arabov, Mullosharaf K., et al.
Publicado: (2026)
por: Arabov, Mullosharaf K., et al.
Publicado: (2026)
Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning
por: Khade, Omkar, et al.
Publicado: (2024)
por: Khade, Omkar, et al.
Publicado: (2024)
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
por: Liang, Yao, et al.
Publicado: (2025)
por: Liang, Yao, et al.
Publicado: (2025)
LoRA+: Efficient Low Rank Adaptation of Large Models
por: Hayou, Soufiane, et al.
Publicado: (2024)
por: Hayou, Soufiane, et al.
Publicado: (2024)
Adapting Small Language Models to Low-Resource Domains: A Case Study in Hindi Tourism QA
por: Majhi, Sandipan, et al.
Publicado: (2025)
por: Majhi, Sandipan, et al.
Publicado: (2025)
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
por: Zhang, Jingfan, et al.
Publicado: (2024)
por: Zhang, Jingfan, et al.
Publicado: (2024)
$D^2LoRA$: Data-Driven LoRA Initialization for Low Resource Tasks
por: SeraJ, Javad, et al.
Publicado: (2025)
por: SeraJ, Javad, et al.
Publicado: (2025)
CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices
por: Zhao, Weilin, et al.
Publicado: (2023)
por: Zhao, Weilin, et al.
Publicado: (2023)
Semi-Synthetic Parallel Data for Translation Quality Estimation: A Case Study of Dataset Building for an Under-Resourced Language Pair
por: Siani, Assaf, et al.
Publicado: (2026)
por: Siani, Assaf, et al.
Publicado: (2026)
ID-LoRA: Efficient Low-Rank Adaptation Inspired by Matrix Interpolative Decomposition
por: Ma, Xindian, et al.
Publicado: (2026)
por: Ma, Xindian, et al.
Publicado: (2026)
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
por: Rajabzadeh, Hossein, et al.
Publicado: (2024)
por: Rajabzadeh, Hossein, et al.
Publicado: (2024)
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
por: Wu, Yichao, et al.
Publicado: (2024)
por: Wu, Yichao, et al.
Publicado: (2024)
BeamLoRA: Beam-Constraint Low-Rank Adaptation
por: Gu, Naibin, et al.
Publicado: (2025)
por: Gu, Naibin, et al.
Publicado: (2025)
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
por: Mu, Lin, et al.
Publicado: (2025)
por: Mu, Lin, et al.
Publicado: (2025)
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
por: Li, Yanan, et al.
Publicado: (2025)
por: Li, Yanan, et al.
Publicado: (2025)
DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
por: Zhang, Haojie
Publicado: (2025)
por: Zhang, Haojie
Publicado: (2025)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
por: Wang, Shaowen, et al.
Publicado: (2024)
por: Wang, Shaowen, et al.
Publicado: (2024)
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
por: He, Xinyi, et al.
Publicado: (2025)
por: He, Xinyi, et al.
Publicado: (2025)
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
por: wan, Zhen, et al.
Publicado: (2023)
por: wan, Zhen, et al.
Publicado: (2023)
TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning
por: Chen, Yu, et al.
Publicado: (2025)
por: Chen, Yu, et al.
Publicado: (2025)
Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation
por: Kyslyi, Roman, et al.
Publicado: (2025)
por: Kyslyi, Roman, et al.
Publicado: (2025)
Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models
por: Luong, Hoang-Chau, et al.
Publicado: (2026)
por: Luong, Hoang-Chau, et al.
Publicado: (2026)
From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation
por: Marashian, Ali, et al.
Publicado: (2024)
por: Marashian, Ali, et al.
Publicado: (2024)
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
por: Zhou, Hongyun, et al.
Publicado: (2024)
por: Zhou, Hongyun, et al.
Publicado: (2024)
Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages
por: Xiao, Yang, et al.
Publicado: (2026)
por: Xiao, Yang, et al.
Publicado: (2026)
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
por: Song, Yurun, et al.
Publicado: (2024)
por: Song, Yurun, et al.
Publicado: (2024)
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
por: Meng, Xiangdi, et al.
Publicado: (2024)
por: Meng, Xiangdi, et al.
Publicado: (2024)
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation
por: Iyer, Vivek, et al.
Publicado: (2024)
por: Iyer, Vivek, et al.
Publicado: (2024)
Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation
por: Miyano, Ryota, et al.
Publicado: (2025)
por: Miyano, Ryota, et al.
Publicado: (2025)
SpectralLoRA: Is Low-Frequency Structure Sufficient for LoRA Adaptation? A Spectral Analysis of Weight Updates
por: Singh, Rajveer
Publicado: (2026)
por: Singh, Rajveer
Publicado: (2026)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
por: Yang, Yaming, et al.
Publicado: (2024)
por: Yang, Yaming, et al.
Publicado: (2024)
AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation
por: Liu, Ziyun, et al.
Publicado: (2026)
por: Liu, Ziyun, et al.
Publicado: (2026)
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
por: Lin, Tianwei, et al.
Publicado: (2024)
por: Lin, Tianwei, et al.
Publicado: (2024)
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
por: Pei, Renhao, et al.
Publicado: (2025)
por: Pei, Renhao, et al.
Publicado: (2025)
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain
por: Luo, Yuanchang, et al.
Publicado: (2024)
por: Luo, Yuanchang, et al.
Publicado: (2024)
ChunkWise LoRA: Adaptive Sequence Partitioning for Memory-Efficient Low-Rank Adaptation and Accelerated LLM Inference
por: Thakkar, Ketan, et al.
Publicado: (2026)
por: Thakkar, Ketan, et al.
Publicado: (2026)
LoRA-Drop: Temporal LoRA Decoding for Efficient LLM Inference
por: Rajabzadeh, Hossein, et al.
Publicado: (2026)
por: Rajabzadeh, Hossein, et al.
Publicado: (2026)
Ejemplares similares
-
Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review
por: McGiff, Josh, et al.
Publicado: (2025) -
Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional models for homophobic content identification on X/Twitter
por: McGiff, Josh, et al.
Publicado: (2024) -
Irish-BLiMP: A Linguistic Benchmark for Evaluating Human and Language Model Performance in a Low-Resource Setting
por: McGiff, Josh, et al.
Publicado: (2025) -
Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir
por: Arabov, Mullosharaf K., et al.
Publicado: (2026) -
Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning
por: Khade, Omkar, et al.
Publicado: (2024)