Related work

The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

109 papers of 11,817 · showing 1–50Sort Recent · Most cited
  1. 2025PDF ↗
  2. 2025
    DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business ConversationsElena Khasanova, Harsh Saini, Md Tahmid Rahman Laskar … TN ShashiBhushanEMNLP
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  9. 2025
    Weights-Rotated Preference Optimization for Large Language ModelsChenxu Yang, Ruipeng Jia, Mingyu Zheng … Weiping WangEMNLP
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  10. 2025
    Orthogonal Finetuning Made ScalableZeju Qiu, Weiyang Liu, Adrian Weller, B. SchölkopfEMNLP
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  15. 2025
    Continual Learning of Large Language ModelsTongtong Wu, Thuy-Trang Vu, Linhao Luo, Gholamreza HaffariEMNLP
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  18. 2024
    Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model MergingHua Farn, Hsuan Su, Shachi H. Kumar … Hung-yi LeeEMNLP
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  22. 2024
    Gradient Localization Improves Lifelong Pretraining of Language ModelsJared Fernandez, Yonatan Bisk, Emma StrubellEMNLP
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  23. 2024
    Lifelong Event Detection via Optimal TransportViet-Hung Dao, Van-Cuong Pham, Quyen Tran … T. NguyenEMNLP
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  27. 2024
    Preserving Generalization of Language models in Few-shot Continual Relation ExtractionQ. Tran, Thanh Xuan Nguyen, Anh Hoang Nguyen … T. NguyenEMNLP
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  31. 2024
    Mitigating Catastrophic Forgetting in Language Transfer via Model MergingAnton Alexandrov, Veselin Raychev, Mark Niklas Müller … Kristina ToutanovaEMNLP
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    Breaking Language Barriers: Cross-Lingual Continual Pre-Training at ScaleWen-Zheng Zheng, Wenbo Pan, Xun Xu … Ming ZhouEMNLP
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  35. 2024
    Unlocking Continual Learning Abilities in Language ModelsWenyu Du, Shuang Cheng, Tongxu Luo … Jie FuEMNLP
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  36. 2024
    Self-training Large Language Models through Knowledge DetectionWei Jie Yeo, Teddy Ferdinan, Przemysław Kazienko … Erik CambriaEMNLP
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  37. 2024
    Revisiting Catastrophic Forgetting in Large Language Model TuningHongyu Li, Liang Ding, Meng Fang, D. TaoEMNLP
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  40. 2024
    Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt LearningQizhou Chen, Taolin Zhang, Dongyang Li … Xiaofeng HeEMNLP
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  41. 2024
    Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing AgentXiaoyan Yu, Tongxu Luo, Yifan Wei … Liehuang ZhuEMNLP
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  43. 2024
    Breaking the Curse of Multilinguality with Cross-lingual Expert Language ModelsTerra Blevins, Tomasz Limisiewicz, Suchin Gururangan … Luke S. ZettlemoyerEMNLP
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    MLLM-Protector: Ensuring MLLM’s Safety without Hurting PerformanceRenjie Pi, Tianyang Han, Jianshu Zhang … Jipeng ZhangEMNLP
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  45. 2024
  46. 2024
    ICL: Iterative Continual Learning for Multi-domain Neural Machine TranslationZhibo Man, Kaiyu Huang, Yu-Jie Zhang … Jinan XuEMNLP
  47. 2023
    Visually Grounded Continual Language Learning with Selective SpecializationK. Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan WermterEMNLP
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  48. 2023
    CITB: A Benchmark for Continual Instruction TuningZihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-RadEMNLP
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  49. 2023
    Continual Named Entity Recognition without Catastrophic ForgettingDu-Zhen Zhang, Wei Cong, Jia-Hua Dong … Zhen FangEMNLP
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  50. 2023
    Coordinated Replay Sample Selection for Continual Federated LearningJack H. Good, Jimit Majmudar, Christophe Dupuy … Rahul GuptaEMNLP
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About this index

We keep this list because we read the field and wanted one place to see it. It covers work on continual learning itself, in the core areas of machine learning, and leaves out papers that apply it inside another field, such as medical imaging or fault diagnosis. It is seeded from the community lists kept by ContinualAI and by Xialei Liu, then filled out from OpenAlex, and every week a script looks for new papers on OpenAlex and arXiv. A model reads each candidate and decides whether it belongs; a person reviews the additions before they go live. Authors and affiliations come from OpenAlex, so a recent preprint can lack its institutions for a week or two.

Missing something, or filed under the wrong venue? Write to hello@unify.ai with the arXiv id or DOI.