parameter-efficient fine-tuning

Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining ACL 2025 Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition NAACL 2025 Investigating ReLoRA: Effects on the Learning Dynamics of Small Language Models EMNLP 2025 IterIS: Iterative Inference-Solving Alignment for LoRA Merging CVPR 2025 It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs EMNLP 2025 JGU Mainz’s Submission to the WMT25 Shared Task on LLMs with Limited Resources for Slavic Languages: MT and QA EMNLP 2025 Joint Localization and Activation Editing for Low-Resource Fine-Tuning ICML 2025 JU-NLP: Improving Low-Resource Indic Translation System with Efficient LoRA-Based Adaptation EMNLP 2025 KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing AAAI 2025 KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models ICLR 2025 Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation CVPR 2025 KozKreolMRU WMT 2025 CreoleMT System Description: Koz Kreol: Multi-Stage Training for English–Mauritian Creole MT EMNLP 2025 L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models ACL 2025 LAD: LoRA-Adapted Diffusion EMNLP 2025 Language-Aware Prompt Tuning for Parameter-Efficient Seamless Language Expansion in Multilingual ASR Interspeech 2025 Language Fusion for Parameter-Efficient Cross-lingual Transfer ACL 2025 Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations EMNLP 2025 Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models EMNLP 2025 Large Language Models as a Normalizer for Transliteration and Dialectal Translation COLING 2025 LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context ACL 2025 Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning WACV 2025 Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition CVPR 2025 Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025 Leveraging Large Pre-trained Multilingual Models for High-Quality Speech-to-Text Translation on Industry Scenarios COLING 2025 Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs ACL 2025