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Continual Learning

1,929 papers

Papers per year

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Papers

AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing EMNLP 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging EMNLP 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection EMNLP 2025
Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation EMNLP 2025
Dynamic Model-Bank Test-Time Adaptation for Automatic Speech Recognition EMNLP 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models EMNLP 2025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025
Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework EMNLP 2025
Orthogonal Finetuning Made Scalable EMNLP 2025
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing EMNLP 2025
MKT: A Multi-Stage Knowledge Transfer Framework to Mitigate Catastrophic Forgetting in Multi-Domain Chinese Spelling Correction EMNLP 2025
L4: Mutual Learning Helps Lifelong Language Learning EMNLP 2025
Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance EMNLP 2025
DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations EMNLP 2025
ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining EMNLP 2025
Continual Learning of Large Language Models EMNLP 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025
Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation EMNLP 2025
Enhancing LLM Knowledge Learning through Generalization EMNLP 2025
Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning EMNLP 2025
Mixture of LoRA Experts for Continual Information Extraction with LLMs EMNLP 2025
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment EMNLP 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025