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Parameter-Efficient Adaptation of Large Language Models to a Low-Resource Agglutinative Language: A Corpus, Datasets, and a Reproducible Benchmark for the Bashkir Language
Parameter-Efficient Adaptation of Large Language Models to a Low-Resource Agglutinative Language: A Corpus, Datasets, and a Reproducible Benchmark for the Bashkir Language
Arxiv
0+阅读 · 10月22日
Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks
Arxiv
0+阅读 · 10月16日
Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks
Arxiv
0+阅读 · 10月13日
Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization
Arxiv
0+阅读 · 9月27日
Analysis of Quantized and Efficiently Adapted Protein Language Models
Arxiv
0+阅读 · 9月30日
HALDETECT at ImageEval 2026 Shared Tasks: Answer-First Contrastive Grounding with QLoRA
Arxiv
0+阅读 · 9月10日
Choosing a PEFT Variant for Per-Patient Dysarthric ASR: A Single-Speaker Case Study on Two ASR Bases
Arxiv
0+阅读 · 9月2日
Ladder Up, Memory Down: Low-Cost Fine-Tuning With Side Nets
Arxiv
0+阅读 · 8月25日
Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpus
Arxiv
0+阅读 · 8月10日
Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs
Arxiv
0+阅读 · 8月5日
Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks
Arxiv
0+阅读 · 6月7日
Addressing the Ecological Fallacy in Larger LMs with Human Context
Arxiv
0+阅读 · 3月6日
ROMA: a Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM
Arxiv
0+阅读 · 3月2日
Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks
Arxiv
0+阅读 · 1月21日
RFX: High-Performance Random Forests with GPU Acceleration and QLORA Compression
Arxiv
0+阅读 · 2025年11月23日
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