{"total":160,"rows":[{"id":"2302.00487","title":"A Comprehensive Survey of Continual Learning: Theory, Method and Application","created":"2023-01-31","cited_by_count":872,"area":null},{"id":"2405.09673","title":"LoRA Learns Less and Forgets Less","created":"2024-05-15","cited_by_count":328,"area":null},{"id":"2101.10423","title":"Online Continual Learning in Image Classification: An Empirical Survey","created":"2021-01-25","cited_by_count":245,"area":null},{"id":"2102.01951","title":"Mind the Gap: Assessing Temporal Generalization in Neural Language Models","created":"2021-02-03","cited_by_count":230,"area":null},{"id":"2301.12314","title":"Progressive Prompts: Continual Learning for Language Models","created":"2023-01-29","cited_by_count":197,"area":null},{"id":"2309.06256","title":"Mitigating the Alignment Tax of RLHF","created":"2023-09-12","cited_by_count":183,"area":"alignment"},{"id":"2110.03215","title":"Towards Continual Knowledge Learning of Language Models","created":"2021-10-07","cited_by_count":174,"area":null},{"id":"2205.12393","title":"Fine-tuned Language Models are Continual Learners","created":"2022-05-24","cited_by_count":156,"area":null},{"id":"2108.05036","title":"DEMix Layers: Disentangling Domains for Modular Language Modeling","created":"2021-08-11","cited_by_count":132,"area":null},{"id":"2105.10919","title":"Continual World: A Robotic Benchmark For Continual Reinforcement Learning","created":"2021-05-23","cited_by_count":116,"area":null},{"id":"2110.08534","title":"Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora","created":"2021-10-16","cited_by_count":115,"area":null},{"id":"2110.07298","title":"LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5","created":"2021-10-14","cited_by_count":104,"area":null},{"id":"2406.04836","title":"Revisiting Catastrophic Forgetting in Large Language Model Tuning","created":"2024-06-07","cited_by_count":99,"area":null},{"id":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"area":null},{"id":"2104.05489","title":"Continual Learning for Text Classification with Information Disentanglement Based Regularization","created":"2021-04-12","cited_by_count":86,"area":null},{"id":"2210.07700","title":"Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey","created":"2022-10-14","cited_by_count":80,"area":null},{"id":"2203.06311","title":"ELLE: Efficient Lifelong Pre-training for Emerging Data","created":"2022-03-12","cited_by_count":70,"area":null},{"id":"2307.09218","title":"A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning","created":"2023-07-16","cited_by_count":69,"area":null},{"id":"2305.12281","title":"Lifelong Language Pretraining with Distribution-Specialized Experts","created":"2023-05-20","cited_by_count":66,"area":"moe"},{"id":"2406.06391","title":"Towards Lifelong Learning of Large Language Models: A Survey","created":"2024-06-10","cited_by_count":64,"area":null},{"id":"2403.11435","title":"InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions","created":"2024-03-18","cited_by_count":58,"area":null},{"id":"2304.00008","title":"On the Creativity of Large Language Models","created":"2023-03-27","cited_by_count":57,"area":null},{"id":"2402.17400","title":"Investigating Continual Pretraining in Large Language Models: Insights and Implications","created":"2024-02-27","cited_by_count":57,"area":null},{"id":"2405.18653","title":"Recent Advances of Foundation Language Models-based Continual Learning: A Survey","created":"2024-05-28","cited_by_count":46,"area":null},{"id":"2203.04640","title":"Memory Efficient Continual Learning with Transformers","created":"2022-03-09","cited_by_count":43,"area":null},{"id":"2305.07437","title":"Continual Vision-Language Representation Learning with Off-Diagonal Information","created":"2023-05-11","cited_by_count":40,"area":null},{"id":"2110.00175","title":"DualNet: Continual Learning, Fast and Slow","created":"2021-10-01","cited_by_count":39,"area":null},{"id":"2404.14999","title":"A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data","created":"2024-04-23","cited_by_count":39,"area":null},{"id":"2406.05534","title":"Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing","created":"2024-06-08","cited_by_count":39,"area":"alignment"},{"id":"2401.08295","title":"SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models","created":"2024-01-16","cited_by_count":38,"area":null},{"id":"2103.15851","title":"Distilled Replay: Overcoming Forgetting through Synthetic Samples","created":"2021-03-29","cited_by_count":36,"area":null},{"id":"2104.08808","title":"Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning","created":"2021-04-18","cited_by_count":35,"area":null},{"id":"2208.12037","title":"Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task","created":"2022-08-24","cited_by_count":35,"area":null},{"id":"2101.01926","title":"Curriculum-Meta Learning for Order-Robust Continual Relation Extraction","created":"2021-01-06","cited_by_count":34,"area":null},{"id":"2103.07492","title":"Continual Learning for Recurrent Neural Networks: an Empirical Evaluation","created":"2021-03-12","cited_by_count":34,"area":null},{"id":"2203.10652","title":"Continual Sequence Generation with Adaptive Compositional Modules","created":"2022-03-20","cited_by_count":31,"area":null},{"id":"2401.09181","title":"Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer","created":"2024-01-17","cited_by_count":31,"area":"mllm"},{"id":"2112.02714","title":"CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks","created":"2021-12-05","cited_by_count":29,"area":null},{"id":"2203.02721","title":"Consistent Representation Learning for Continual Relation Extraction","created":"2022-03-05","cited_by_count":28,"area":"distill"},{"id":"2207.07730","title":"How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition","created":"2022-07-15","cited_by_count":27,"area":null},{"id":"2203.08512","title":"ConTinTin: Continual Learning from Task Instructions","created":"2022-03-16","cited_by_count":26,"area":null},{"id":"2205.01500","title":"Meta Learning for Natural Language Processing: A Survey","created":"2022-05-03","cited_by_count":26,"area":null},{"id":"2412.07951","title":"From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents","created":"2024-12-10","cited_by_count":25,"area":null},{"id":"2310.07589","title":"Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models","created":"2023-10-11","cited_by_count":23,"area":"rag"},{"id":"2502.11191","title":"Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training","created":"2025-02-16","cited_by_count":23,"area":"distill"},{"id":"2205.02014","title":"On Continual Model Refinement in Out-of-Distribution Data Streams","created":"2022-05-04","cited_by_count":22,"area":null},{"id":"2104.01616","title":"Towards Lifelong Learning of End-to-end ASR","created":"2021-04-04","cited_by_count":21,"area":null},{"id":"2405.06067","title":"HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing","created":"2024-05-09","cited_by_count":21,"area":null},{"id":"2410.00487","title":"Self-Updatable Large Language Models by Integrating Context into Model Parameters","created":"2024-10-01","cited_by_count":21,"area":null},{"id":"2108.12641","title":"Prototype-Guided Memory Replay for Continual Learning","created":"2021-08-28","cited_by_count":19,"area":null},{"id":"2203.02135","title":"Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation","created":"2022-03-04","cited_by_count":17,"area":null},{"id":"2106.02821","title":"Lifelong Learning of Hate Speech Classification on Social Media","created":"2021-06-05","cited_by_count":14,"area":null},{"id":"2412.15571","title":"Continual Learning Using a Kernel-Based Method Over Foundation Models","created":"2024-12-20","cited_by_count":14,"area":null},{"id":"2105.03048","title":"Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates","created":"2021-05-07","cited_by_count":13,"area":null},{"id":"2312.07887","title":"Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models","created":"2023-12-13","cited_by_count":13,"area":null},{"id":"2505.15424","title":"Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models","created":"2025-05-21","cited_by_count":13,"area":null},{"id":"2303.01421","title":"Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory","created":"2023-03-02","cited_by_count":12,"area":null},{"id":"2311.05241","title":"When Meta-Learning Meets Online and Continual Learning: A Survey","created":"2023-11-09","cited_by_count":12,"area":null},{"id":"2406.15213","title":"Backdooring Bias ($B^2$) into Stable Diffusion Models","created":"2024-06-21","cited_by_count":12,"area":"diffusion"},{"id":"2506.13045","title":"Continual Learning for Generative AI: From LLMs to MLLMs and Beyond","created":"2025-06-16","cited_by_count":12,"area":null},{"id":"2306.12619","title":"Class-Incremental Learning based on Label Generation","created":"2023-06-22","cited_by_count":11,"area":null},{"id":"2310.11952","title":"Recasting Continual Learning as Sequence Modeling","created":"2023-10-18","cited_by_count":11,"area":null},{"id":"2405.05496","title":"Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis","created":"2024-05-09","cited_by_count":11,"area":null},{"id":"2405.14211","title":"ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks","created":"2024-05-23","cited_by_count":11,"area":null},{"id":"2310.09886","title":"Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation","created":"2023-10-15","cited_by_count":10,"area":null},{"id":"2109.05186","title":"Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers","created":"2021-09-11","cited_by_count":9,"area":null},{"id":"2205.11152","title":"Cross-lingual Lifelong Learning","created":"2022-05-23","cited_by_count":9,"area":null},{"id":"2210.07783","title":"Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue","created":"2022-10-14","cited_by_count":9,"area":null},{"id":"2408.05200","title":"KIF: Knowledge Identification and Fusion for Language Model Continual Learning","created":"2024-08-09","cited_by_count":9,"area":null},{"id":"2310.13024","title":"Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt","created":"2023-10-19","cited_by_count":8,"area":null},{"id":"2406.14026","title":"Demystifying Language Model Forgetting with Low-rank Example Associations","created":"2024-06-20","cited_by_count":8,"area":null},{"id":"2410.09982","title":"Self-Data Distillation for Recovering Quality in Pruned Large Language Models","created":"2024-10-13","cited_by_count":8,"area":null},{"id":"2106.11197","title":"Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification","created":"2021-06-21","cited_by_count":7,"area":null},{"id":"2309.06917","title":"Continual Learning with Dirichlet Generative-based Rehearsal","created":"2023-09-13","cited_by_count":7,"area":"distill"},{"id":"2310.06362","title":"InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective","created":"2023-10-10","cited_by_count":7,"area":null},{"id":"2406.19297","title":"Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation","created":"2024-06-27","cited_by_count":7,"area":"distill"},{"id":"2412.15563","title":"In-context Continual Learning Assisted by an External Continual Learner","created":"2024-12-20","cited_by_count":7,"area":null},{"id":"2501.09765","title":"Enhancing the De-identification of Personally Identifiable Information in Educational Data","created":"2025-01-14","cited_by_count":7,"area":null},{"id":"2210.00940","title":"How Relevant is Selective Memory Population in Lifelong Language Learning?","created":"2022-10-03","cited_by_count":6,"area":null},{"id":"2302.02080","title":"Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion","created":"2023-02-04","cited_by_count":6,"area":null},{"id":"2305.06616","title":"Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction","created":"2023-05-11","cited_by_count":6,"area":"distill"},{"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":"2411.02210","title":"One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering","created":"2024-11-04","cited_by_count":6,"area":"mllm"},{"id":"2210.10209","title":"Exclusive Supermask Subnetwork Training for Continual Learning","created":"2022-10-18","cited_by_count":5,"area":null},{"id":"2305.06555","title":"Domain Incremental Lifelong Learning in an Open World","created":"2023-05-11","cited_by_count":5,"area":null},{"id":"2407.16920","title":"Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning","created":"2024-07-24","cited_by_count":5,"area":null},{"id":"2605.05676","title":"Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning","created":"2026-05-07","cited_by_count":5,"area":null},{"id":"2105.08445","title":"DRILL: Dynamic Representations for Imbalanced Lifelong Learning","created":"2021-05-18","cited_by_count":4,"area":null},{"id":"2201.03356","title":"Continual Learning of Long Topic Sequences in Neural Information Retrieval","created":"2022-01-10","cited_by_count":4,"area":null},{"id":"2205.10857","title":"RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning","created":"2022-05-22","cited_by_count":4,"area":null},{"id":"2403.13130","title":"Self-generated Replay Memories for Continual Neural Machine Translation","created":"2024-03-19","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":"2505.05946","title":"Full-Parameter Continual Pretraining of Gemma2: Insights into Fluency and Domain Knowledge","created":"2025-05-09","cited_by_count":4,"area":null},{"id":"2505.09952","title":"Task-Core Memory Management and Consolidation for Long-term Continual Learning","created":"2025-05-15","cited_by_count":4,"area":null},{"id":"2509.18133","title":"Self-Evolving LLMs via Continual Instruction Tuning","created":"2025-09-14","cited_by_count":4,"area":"moe"},{"id":"2511.22367","title":"SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning","created":"2025-11-27","cited_by_count":4,"area":null},{"id":"2104.08775","title":"Dynamically Addressing Unseen Rumor via Continual Learning","created":"2021-04-18","cited_by_count":3,"area":null},{"id":"2110.08745","title":"Reminding the Incremental Language Model via Data-Free Self-Distillation","created":"2021-10-17","cited_by_count":3,"area":"distill"},{"id":"2209.06923","title":"Prompt-based Conservation Learning for Multi-hop Question Answering","created":"2022-09-14","cited_by_count":3,"area":null},{"id":"2211.17142","title":"Learning Label Modular Prompts for Text Classification in the Wild","created":"2022-11-30","cited_by_count":3,"area":null}],"next_cursor":"100"}