{"total":154,"rows":[{"id":"2507.21046","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","created":"2025-07-28","cited_by_count":170,"area":"agents"},{"id":"2403.12030","title":"Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning","created":"2024-03-18","cited_by_count":117,"area":null},{"id":"2503.07137","title":"A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications","created":"2025-03-10","cited_by_count":91,"area":"moe"},{"id":"2501.07278","title":"Lifelong Learning of Large Language Model based Agents: A Roadmap","created":"2025-01-13","cited_by_count":83,"area":"agents"},{"id":"2406.06391","title":"Towards Lifelong Learning of Large Language Models: A Survey","created":"2024-06-10","cited_by_count":64,"area":null},{"id":"2405.14124","title":"Mixture of Experts Meets Prompt-Based Continual Learning","created":"2024-05-23","cited_by_count":43,"area":"moe"},{"id":"2410.05352","title":"Recent Advances of Multimodal Continual Learning: A Comprehensive Survey","created":"2024-10-07","cited_by_count":39,"area":null},{"id":"2412.09441","title":"MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning","created":"2024-12-12","cited_by_count":36,"area":null},{"id":"2407.08536","title":"Exemplar-free Continual Representation Learning via Learnable Drift Compensation","created":"2024-07-11","cited_by_count":31,"area":null},{"id":"2505.24816","title":"CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning","created":"2025-05-30","cited_by_count":28,"area":null},{"id":"2408.14471","title":"A Practitioner's Guide to Continual Multimodal Pretraining","created":"2024-08-26","cited_by_count":23,"area":null},{"id":"2503.17979","title":"Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities","created":"2025-03-23","cited_by_count":20,"area":"lr"},{"id":"2411.02175","title":"SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models","created":"2024-11-04","cited_by_count":18,"area":null},{"id":"2412.18219","title":"Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning","created":"2024-12-24","cited_by_count":18,"area":null},{"id":"2502.17510","title":"Recurrent Knowledge Identification and Fusion for Language Model Continual Learning","created":"2025-02-22","cited_by_count":15,"area":null},{"id":"2508.01908","title":"Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models","created":"2025-08-03","cited_by_count":14,"area":null},{"id":"2409.14983","title":"Dynamic Integration of Task-Specific Adapters for Class Incremental Learning","created":"2024-09-23","cited_by_count":13,"area":null},{"id":"2502.07059","title":"Federated Continual Learning: Concepts, Challenges, and Solutions","created":"2025-02-10","cited_by_count":13,"area":null},{"id":"2403.09066","title":"Hyperparameters in Continual Learning: A Reality Check","created":"2024-03-14","cited_by_count":12,"area":null},{"id":"2408.09053","title":"Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models","created":"2024-08-16","cited_by_count":11,"area":null},{"id":"2504.13822","title":"Parameter-Efficient Continual Fine-Tuning: A Survey","created":"2025-04-18","cited_by_count":11,"area":null},{"id":"2403.19979","title":"Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning","created":"2024-03-29","cited_by_count":10,"area":null},{"id":"2505.22370","title":"SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting","created":"2025-05-28","cited_by_count":10,"area":null},{"id":"2404.06622","title":"Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers","created":"2024-04-09","cited_by_count":9,"area":null},{"id":"2409.18860","title":"LW2G: Learning Whether to Grow for Prompt-based Continual Learning","created":"2024-09-27","cited_by_count":9,"area":null},{"id":"2501.01045","title":"ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think","created":"2025-01-02","cited_by_count":9,"area":null},{"id":"2505.11816","title":"Continuous Subspace Optimization for Continual Learning","created":"2025-05-17","cited_by_count":9,"area":null},{"id":"2409.07446","title":"Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning","created":"2024-09-11","cited_by_count":8,"area":null},{"id":"2410.09218","title":"Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications","created":"2024-10-11","cited_by_count":8,"area":null},{"id":"2502.07560","title":"Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning","created":"2025-02-11","cited_by_count":8,"area":null},{"id":"2506.05985","title":"Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning","created":"2025-06-06","cited_by_count":8,"area":null},{"id":"2601.03938","title":"FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning","created":"2026-01-07","cited_by_count":8,"area":null},{"id":"2602.01990","title":"SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning","created":"2026-02-02","cited_by_count":8,"area":"mllm"},{"id":"2502.20032","title":"Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping","created":"2025-02-27","cited_by_count":7,"area":null},{"id":"2503.20612","title":"IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting","created":"2025-03-26","cited_by_count":7,"area":"mllm"},{"id":"2404.18311","title":"Towards Incremental Learning in Large Language Models: A Critical Review","created":"2024-04-28","cited_by_count":6,"area":null},{"id":"2408.01076","title":"Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning","created":"2024-08-02","cited_by_count":6,"area":null},{"id":"2602.07892","title":"Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection","created":"2026-02-08","cited_by_count":6,"area":"alignment"},{"id":"2403.07356","title":"Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2409.18664","title":"How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models","created":"2024-09-27","cited_by_count":5,"area":null},{"id":"2508.13878","title":"RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection","created":"2025-08-19","cited_by_count":5,"area":null},{"id":"2602.00722","title":"Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation","created":"2026-01-31","cited_by_count":5,"area":null},{"id":"2404.03200","title":"Future-Proofing Class-Incremental Learning","created":"2024-04-04","cited_by_count":4,"area":null},{"id":"2502.12388","title":"Achieving Upper Bound Accuracy of Joint Training in Continual Learning","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2503.22006","title":"Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them","created":"2025-03-27","cited_by_count":4,"area":"synth"},{"id":"2411.01916","title":"Masked Autoencoders are Parameter-Efficient Federated Continual Learners","created":"2024-11-04","cited_by_count":3,"area":null},{"id":"2505.08586","title":"PrePrompt: Predictive prompting for class incremental learning","created":"2025-05-13","cited_by_count":3,"area":null},{"id":"2505.12239","title":"Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning","created":"2025-05-18","cited_by_count":3,"area":"safety"},{"id":"2505.12245","title":"AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data","created":"2025-05-18","cited_by_count":3,"area":null},{"id":"2509.20612","title":"Policy Compatible Skill Incremental Learning via Lazy Learning Interface","created":"2025-09-24","cited_by_count":3,"area":null},{"id":"2509.24239","title":"ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models","created":"2025-09-29","cited_by_count":3,"area":"lr"},{"id":"2512.18202","title":"Sophia: A Persistent Agent Framework of Artificial Life","created":"2025-12-20","cited_by_count":3,"area":"agents"},{"id":"2601.20852","title":"C3Box: A CLIP-based Class-Incremental Learning Toolbox","created":"2026-01-28","cited_by_count":3,"area":null},{"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":"2604.17736","title":"IncreFA: Breaking the Static Wall of Generative Model Attribution","created":"2026-04-20","cited_by_count":3,"area":null},{"id":"2408.08084","title":"An Efficient Replay for Class-Incremental Learning with Pre-trained Models","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2408.08848","title":"PsychoLex: Unveiling the Psychological Mind of Large Language Models","created":"2024-08-16","cited_by_count":2,"area":null},{"id":"2411.00430","title":"Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection","created":"2024-11-01","cited_by_count":2,"area":null},{"id":"2411.01904","title":"FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework","created":"2024-11-04","cited_by_count":2,"area":null},{"id":"2411.02813","title":"Sparse Orthogonal Parameters Tuning for Continual Learning","created":"2024-11-05","cited_by_count":2,"area":null},{"id":"2412.13096","title":"Incremental Online Learning of Randomized Neural Network with Forward Regularization","created":"2024-12-17","cited_by_count":2,"area":null},{"id":"2503.04638","title":"No Forgetting Learning: Buffer-free Continual Learning Classification","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2503.10439","title":"EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning","created":"2025-03-13","cited_by_count":2,"area":null},{"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":"2507.10034","title":"LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning","created":"2025-07-14","cited_by_count":2,"area":null},{"id":"2508.14599","title":"Incremental Object Detection with Prompt-based Methods","created":"2025-08-20","cited_by_count":2,"area":null},{"id":"2509.22580","title":"The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2510.11588","title":"Analyzing and Internalizing Complex Policy Documents for LLM Agents","created":"2025-10-13","cited_by_count":2,"area":"agents"},{"id":"2510.16077","title":"Continual Knowledge Consolidation LORA for Domain Incremental Learning","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2510.16914","title":"Domain Generalizable Continual Learning","created":"2025-10-19","cited_by_count":2,"area":null},{"id":"2601.21577","title":"Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis","created":"2026-01-29","cited_by_count":2,"area":null},{"id":"2605.09640","title":"Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning","created":"2026-05-10","cited_by_count":2,"area":null},{"id":"2404.13289","title":"Double Mixture: Towards Continual Event Detection from Speech","created":"2024-04-20","cited_by_count":1,"area":null},{"id":"2405.11822","title":"FeTT: Continual Class Incremental Learning via Feature Transformation Tuning","created":"2024-05-20","cited_by_count":1,"area":null},{"id":"2410.05820","title":"IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition","created":"2024-10-08","cited_by_count":1,"area":null},{"id":"2412.10900","title":"PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2501.12635","title":"Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning","created":"2025-01-22","cited_by_count":1,"area":null},{"id":"2505.08327","title":"Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer","created":"2025-05-13","cited_by_count":1,"area":"distill"},{"id":"2505.22358","title":"Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2506.01327","title":"Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2506.01496","title":"Continual Speech Learning with Fused Speech Features","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2508.18860","title":"C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2509.01533","title":"Forward-Only Continual Learning","created":"2025-09-01","cited_by_count":1,"area":null},{"id":"2511.09791","title":"PANDA -- Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning","created":"2025-11-12","cited_by_count":1,"area":null},{"id":"2512.22029","title":"LibContinual: A Comprehensive Library towards Realistic Continual Learning","created":"2025-12-26","cited_by_count":1,"area":null},{"id":"2601.04864","title":"Key-Value Pair-Free Continual Learner via Task-Specific Prompt-Prototype","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2601.20894","title":"Is Parameter Isolation Better for Prompt-Based Continual Learning?","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2602.20799","title":"Unseen-Codebases-Domain Data Synthesis and Training Based on Code Graphs","created":"2026-02-24","cited_by_count":1,"area":"synth"},{"id":"2603.02280","title":"Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2603.10237","title":"One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2604.04420","title":"Is Prompt Selection Necessary for Task-Free Online Continual Learning?","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2604.11064","title":"A Faster Path to Continual Learning","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2605.11904","title":"Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2606.19635","title":"Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models","created":"2026-06-17","cited_by_count":1,"area":null},{"id":"2606.30537","title":"Learning from Mistakes: Rollout-Retrieval Lifelong Policy Learning for Autonomous Driving","created":"2026-06-29","cited_by_count":1,"area":"driving"},{"id":"2609.32771","title":"Continual Learning via Self-Probe Gradients","created":"2026-09-26","cited_by_count":1,"area":null},{"id":"2409.12326","title":"ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning","created":"2024-09-18","cited_by_count":0,"area":null},{"id":"2410.05804","title":"CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection","created":"2024-10-08","cited_by_count":0,"area":"mllm"},{"id":"2411.17766","title":"Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning","created":"2024-11-26","cited_by_count":0,"area":null},{"id":"2412.01948","title":"The Evolution and Future Perspectives of Artificial Intelligence Generated Content","created":"2024-12-02","cited_by_count":0,"area":null}],"next_cursor":"100"}