parameter efficient

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts AAAI 2025 FastDraft: How to Train Your Draft ACL 2025 FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data EMNLP 2025 Generative Prompt Internalization NAACL 2025 Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers ICLR 2025 GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers ICLR 2025 Layer Duplication in LLMs EMNLP 2025 Learning without Isolation: Pathway Protection for Continual Learning ICML 2025 LexTempus: Enhancing Temporal Generalizability of Legal Language Models Through Dynamic Mixture of Experts ACL 2025 LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph AAAI 2025 LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding EMNLP 2025 MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP IJCAI 2025 MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025 MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora EMNLP 2025 NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning AAAI 2025 On the Way to LLM Personalization: Learning to Remember User Conversations ACL 2025 OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework EMNLP 2025 PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening AAAI 2025 Revealing and Mitigating the Local Pattern Shortcuts of Mamba ACL 2025 Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025 Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing ACL 2025 SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning ICLR 2025 Selective Visual Prompting in Vision Mamba AAAI 2025 Simplifying Control Mechanism in Text-to-Image Diffusion Models AAAI 2025 Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves CVPR 2025