--- title: "Who cites Memory Aware Synapses: — 106 citing papers" description: "106 papers of the Elamur Research library cite «Memory Aware Synapses: Learning what (not) to forget», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/aljundi-2017-memory-aware-synapses-learning-forget/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/aljundi-2017-memory-aware-synapses-learning-forget/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Memory Aware Synapses: Learning what (not) to…](https://md.research.elamur.ai/free/en/papers/aljundi-2017-memory-aware-synapses-learning-forget/) / cited by # Who cites «Memory Aware Synapses: Learning what (not) to forget» 106 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Memory Aware Synapses: Learning what (not) to forget»](https://md.research.elamur.ai/free/en/papers/aljundi-2017-memory-aware-synapses-learning-forget/) 1. [**The Curse of Recursion: Training on Generated Data Makes Models Forget arXiv:2305.17493**Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.*2023 · 255 citations*](https://md.research.elamur.ai/free/en/papers/shumailov-2023-curse-recursion-training-generated-data/) 2. **[Continual Relation Learning via Episodic Memory Activation and Reconsolidation](https://md.research.elamur.ai/free/en/papers/han-2020-continual-relation-learning-episodic-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xu Han, Yi Dai, Tianyu Gao, et al.*2020 · 152 citations* 3. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yong Lin, Hangyu Lin, Wei Xiong, et al.*2024 · 83 citations* 4. **[Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/yang-2024-self-distillation-bridges-distribution-gap/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.*2024 · 63 citations* 5. [**InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning arXiv:2305.13627**Samuel Cahyawijaya, Holy Lovenia, Tiezheng Yu, et al.*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/cahyawijaya-2023-instructalign-high-low-resource-language/) 6. [**Investigating Forgetting in Pre-Trained Representations Through Continual Learning arXiv:2305.05968**Yun Luo, Zhen Yang, Xuefeng Bai, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-investigating-forgetting-pre-trained-representations/) 7. **[Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons](https://md.research.elamur.ai/free/en/papers/leng-2025-understanding-multi-task-learning-generalization/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yongqi Leng, Deyi Xiong*2025 · 9 citations* 8. **[Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates](https://md.research.elamur.ai/free/en/papers/yamaguchi-2026-mitigating-catastrophic-forgetting-target-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.*2026 · 3 citations* 9. **[Sparse Adapter Fusion for Continual Learning in NLP](https://md.research.elamur.ai/free/en/papers/zeng-2026-sparse-adapter-fusion-continual-learning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Min Zeng, Xi Chen, Haiqin Yang, et al.*2026 · 1 citation* 10. **[Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/phan-2026-beyond-reasoning-gains-mitigating-general/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoang Phan, Xianjun Yang, Yuanshun Yao, et al.*2026* 96 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/aljundi-2017-memory-aware-synapses-learning-forget/) — Memory Aware Synapses: Learning what (not) to forget