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.

160 papers of 11,817 · showing 1–50Sort Recent · Most cited
  1. 2026
    VFA: Empowering Multilingual MLLMs via Vision-Free AdaptationYixia Li, Yaqing Shi, Zhiwen Ruan … Furu WeiACL
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  9. 2026
    CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic ModelingKarthik Singaravadivelan, Anant Gupta, Ze-Kun Wang, Christopher J. MacLellanACL
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  10. 2026
    HiEdit: Lifelong Model Editing with Hierarchical Reinforcement LearningYang-Fan Wang, Tianyang Sun, Chen Tang … Jing-Chi JiangACL
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  11. 2026
    A Layer-wise Analysis of Supervised Fine-TuningQinghua Zhao, Xue Gong, Xinyun Chen … Xinlu LiACL
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  14. 2026
    Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-TuningAnna Borisiuk, A. Savchenko, Alexander Panchenko, Elena TutubalinaACL
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  15. 2026
    Beyond Quantity: Trajectory Diversity Scaling for Code AgentsGu-Hong Chen, Chen Sun, Cheng Fu … Yongbin LiACL
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    Evolutionary Strategies at Scale lead to Catastrophic ForgettingImmanuel Abdi, Akshat Gupta, Micah Mok … G. AnumanchipalliACL
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    LLM-SLM Collaborative Framework of Idiomatic Expression GenerationHui Gao, Changhao Song, Peng Zhang … Liu-Xian GeACL
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  39. 2025
    Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAtsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, Nikolaos AletrasACL
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  40. 2025
    SCALE: Upscaled Continual Learning of Large Language ModelsJin-woo Lee, Junhwa Choi, Bongkyu Hwang … Suk-Hoon JungACL
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  48. 2025
    Continual Gradient Low-Rank Projection Fine-Tuning for LLMsChenxu Wang, Yilin Lyu, Zicheng Sun, Liping JingACL
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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.