{"total":25,"rows":[{"id":"2305.12281","title":"Lifelong Language Pretraining with Distribution-Specialized Experts","created":"2023-05-20","cited_by_count":66,"area":"moe"},{"id":"2405.14124","title":"Mixture of Experts Meets Prompt-Based Continual Learning","created":"2024-05-23","cited_by_count":43,"area":"moe"},{"id":"2310.09762","title":"Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer","created":"2023-10-15","cited_by_count":29,"area":"moe"},{"id":"2601.18699","title":"Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning","created":"2026-01-26","cited_by_count":14,"area":"moe"},{"id":"2405.11530","title":"Learning More Generalized Experts by Merging Experts in Mixture-of-Experts","created":"2024-05-19","cited_by_count":12,"area":"moe"},{"id":"2207.01145","title":"Memory Population in Continual Learning via Outlier Elimination","created":"2022-07-04","cited_by_count":9,"area":"moe"},{"id":"2505.13997","title":"StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning","created":"2025-05-20","cited_by_count":7,"area":"moe"},{"id":"2406.03140","title":"Continual Traffic Forecasting via Mixture of Experts","created":"2024-06-05","cited_by_count":6,"area":"moe"},{"id":"2407.00875","title":"MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting","created":"2024-06-25","cited_by_count":6,"area":"moe"},{"id":"2506.21035","title":"Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts","created":"2025-06-26","cited_by_count":5,"area":"moe"},{"id":"2509.18133","title":"Self-Evolving LLMs via Continual Instruction Tuning","created":"2025-09-14","cited_by_count":4,"area":"moe"},{"id":"2603.12378","title":"NeuroLoRA: Context-Aware Neuromodulation for Parameter-Efficient Multi-Task Adaptation","created":"2026-03-12","cited_by_count":4,"area":"moe"},{"id":"2602.03473","title":"Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts","created":"2026-02-03","cited_by_count":3,"area":"moe"},{"id":"2506.11038","title":"MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning","created":"2025-05-21","cited_by_count":2,"area":"moe"},{"id":"2602.12587","title":"Multi-Head Attention as a Source of Catastrophic Forgetting in MoE Transformers","created":"2026-02-13","cited_by_count":1,"area":"moe"},{"id":"2604.24637","title":"Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks","created":"2026-04-27","cited_by_count":1,"area":"moe"},{"id":"2605.17571","title":"Stable Routing for Mixture-of-Experts in Class-Incremental Learning","created":"2026-05-17","cited_by_count":1,"area":"moe"},{"id":"2501.02198","title":"Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning","created":"2025-01-04","cited_by_count":0,"area":"moe"},{"id":"2512.10969","title":"MoB: Mixture of Bidders","created":"2025-11-30","cited_by_count":0,"area":"moe"},{"id":"2603.23436","title":"Similarity-Aware Mixture-of-Experts for Data-Efficient Continual Learning","created":"2026-03-24","cited_by_count":0,"area":"moe"},{"id":"2605.06447","title":"Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts","created":"2026-05-07","cited_by_count":0,"area":"moe"},{"id":"2607.00293","title":"Rosetta: Composable Native Multimodal Pretraining","created":"2026-07-01","cited_by_count":0,"area":"moe"},{"id":"2607.03851","title":"ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-Domain Virtual IHC Staining","created":"2026-07-04","cited_by_count":0,"area":"moe"},{"id":"2609.06346","title":"Robust Dynamic Expansion for Continual Learning under Backdoor Attacks via Purification and Selective Recovery","created":"2026-09-06","cited_by_count":0,"area":"moe"},{"id":"2610.20238","title":"MAEM: Mitigating Recency Bias via a Replay-Free, Capacity-Controlled Dynamic Mixture of Experts for Class-Incremental Graph Learning","created":"2026-10-14","cited_by_count":0,"area":"moe"}],"next_cursor":null}