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parameter-efficient fine-tuning

1,055 papers

PEFT

Papers

MapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLM EACL 2026 MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive Supervision ACL 2026 mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection SemEval 2026 MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation WACV 2026 MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models AAAI 2026 Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models CVPR 2026 MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models ACL 2026 Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval AAAI 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 MTA:A Merge-then-Adapt Framework for Personalized Large Language Models ACL 2026 MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew EACL 2026 MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing NSDI 2026 Narrative Nexus at SemEval-2026 Task 4: Modeling Narrative Similarity via Instruction-Based Fine-Tuning and Synthetic Data Augmentation SemEval 2026 No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data EACL 2026 Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation ACL 2026 NUST PsyAI at SemEval-2026 Task 10: Parameter-Efficient RoBERTa for Conspiracy Detection and Character-Level Marker Extraction SemEval 2026 NYCU Speech Lab at SemEval-2026 Task 3: Heterogeneous Model Ensemble with Adaptive Weighted Voting for Dimensional Aspect Sentiment Quadruplet Extraction SemEval 2026 OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models AAAI 2026 OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026 Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation AAAI 2026 OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models CVPR 2026 Parameter-Efficient Adaptation for MLLMs via Implicit Modality Decomposition CVPR 2026 Parameter-Efficient Adaptation of Self-Supervised Models for Arabic Speech Recognition EACL 2026 Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules EACL 2026 Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation AAAI 2026