Parameter-efficient fine-tuning (LoRA family)
MAGE (Mixture and Aggregation of General LoRA and Expert LoRA)
Continual-NExT: A Unified Comprehension And Generation Continual Learning Framework
On the frontierfirst seen Feb 20, 2026
Current frontier — recent, not yet superseded in the knowledge base
0 papers critique it · 0 beat it on benchmarks
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.
- G2LoRAG2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed GraphsJun 1, 2026
- CoDyRATake Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual LearningMay 27, 2026
- May 27, 2026
- May 26, 2026
- Beyond Feature FusionBeyond Feature Fusion: Contextual Bayesian PEFT for Multimodal Uncertainty EstimationApr 17, 2026
- Sequential Fine-Tuning with LoRASimple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement LearningMar 12, 2026
- MAGE (Mixture and Aggregation of General LoRA and Expert LoRA)Continual-NExT: A Unified Comprehension And Generation Continual Learning FrameworkFeb 20, 2026
- Feb 19, 2026
- PS-LoRA (Parameter Stability LoRA)Resolving Conflicts in Lifelong Learning via Aligning Updates in SubspacesNov 28, 2025