knowledge retention

Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training ACL 2026 DK-DDIL: Adaptive Knowledge Retention for Dynamic Domain-Incremental Learning in Medical Imaging CVPR 2026 Forget Less by Learning Together through Concept Consolidation WACV 2026 GAM: Hierarchical Graph-based Agentic Memory for LLM Agents ACL 2026 Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting AAAI 2026 Multi-granularity Temporal Knowledge Editing over Large Language Models AAAI 2026 OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models AAAI 2026 Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning AAAI 2026 Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning ACL 2026 Vision-language Incremental Learning with Dual Class-individual Memory AAAI 2026 Wasserstein-Aware Transfer: Class-Level Alignment for Robust Diffusion Model Adaptation AAAI 2026 AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation AAAI 2025 AdaEdit: Advancing Continuous Knowledge Editing For Large Language Models ACL 2025 APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training ACL 2025 Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development EMNLP 2025 CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models AAAI 2025 Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models SemEval 2025 Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs EMNLP 2025 ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025 Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning ICCV 2025 How Much is Too Much? Exploring LoRA Rank Trade-offs for Retaining Knowledge and Domain Robustness IJCNLP 2025 How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models EMNLP 2025 Identifying and Mitigating Social Bias Knowledge in Language Models NAACL 2025 Interweaving Memories of a Siamese Large Language Model AAAI 2025 Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025