parameter-efficient tuning

Large Language Models as a Normalizer for Transliteration and Dialectal Translation COLING 2025 Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025 Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025 LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation ICLR 2025 MEMIT-Merge: Addressing MEMIT’s Key-Value Conflicts in Same-Subject Batch Editing for LLMs ACL 2025 Model-based Large Language Model Customization as Service EMNLP 2025 Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER EMNLP 2025 NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning AAAI 2025 One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models AAAI 2025 PAVE: Patching and Adapting Video Large Language Models CVPR 2025 Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models ACL 2025 PrAd: Prompt Adaptive Tuning for Decoder-only Language Models EMNLP 2025 Pretraining Language Models with LoRA and Artificial Languages EMNLP 2025 Progressive Parameter Efficient Transfer Learning for Semantic Segmentation ICLR 2025 Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025 Robust SAM: On the Adversarial Robustness of Vision Foundation Models AAAI 2025 STEP: Staged Parameter-Efficient Pre-training for Large Language Models NAACL 2025 Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo EMNLP 2025 Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025 Temporal-Aware Soft Prompt Tuning for Automatic Text Dating NAACL 2025 The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs EMNLP 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity NAACL 2025 TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning AAAI 2025 Visual Consensus Prompting for Co-Salient Object Detection CVPR 2025