parameter-efficient tuning

What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models CoNLL 2025 WMT 2025 CreoleMT Systems Description : Martinican Creole and French EMNLP 2025 zFLoRA: Zero-Latency Fused Low-Rank Adapters EMNLP 2025 A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques ACL 2024 Algorithm for Automatic Legislative Text Consolidation EMNLP 2024 BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation ICLR 2024 CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning WACV 2024 CaMML: Context-Aware Multimodal Learner for Large Models ACL 2024 Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages ACL 2024 CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment ACL 2024 DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models ACL 2024 DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval AAAI 2024 Dodo: Dynamic Contextual Compression for Decoder-only LMs ACL 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models EMNLP 2024 Evolving Parameterized Prompt Memory for Continual Learning AAAI 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models NeurIPS 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024 GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models NAACL 2024 Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement NAACL 2024 KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding COLING 2024