🧑‍🔬 Who cites Rahaf Aljundi

212 citations of their works from 168 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← Rahaf Aljundi

1. Memory Aware Synapses: Learning what (not) to forgetLecture notes in computer scienceRahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, et al.2017 · 1,608 citations
2. Transferable Multi-Domain State Generator for Task-Oriented Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, et al.2019 · 628 citations
3. Progress & Compress: A scalable framework for continual learningarXiv:1805.06370Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, et al.2018 · 338 citations
4. MoEL: Mixture of Empathetic ListenersConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaojiang Lin, Andrea Madotto, Jamin Shin, et al.2019 · 301 citations
5. The Curse of Recursion: Training on Generated Data Makes Models ForgetarXiv:2305.17493Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 255 citations
6. Dataset Condensation with Gradient MatchingInternational Conference on Learning Representations (ICLR)Bo Zhao, Konda Reddy Mopuri, Hakan Bilen2020 · 159 citations
7. Continual Relation Learning via Episodic Memory Activation and ReconsolidationAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Han, Yi Dai, Tianyu Gao, et al.2020 · 152 citations
8. Platypus: Quick, Cheap, and Powerful Refinement of LLMsarXiv:2308.07317Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz2023 · 117 citations
9. Mitigating the Alignment Tax of RLHFConference on Empirical Methods in Natural Language Processing (EMNLP)Yong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 83 citations
10. Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.2024 · 63 citations
11. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction TuningarXiv:2305.13627Samuel Cahyawijaya, Holy Lovenia, Tiezheng Yu, et al.2023 · 22 citations
12. Investigating Forgetting in Pre-Trained Representations Through Continual LearningarXiv:2305.05968Yun Luo, Zhen Yang, Xuefeng Bai, et al.2023 · 10 citations
13. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific NeuronsInternational Conference on Computational Linguistics (COLING)Yongqi Leng, Deyi Xiong2025 · 9 citations
14. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
15. Sparse Adapter Fusion for Continual Learning in NLPConference of the European Chapter of the Association for Computational Linguistics (EACL)Min Zeng, Xi Chen, Haiqin Yang, et al.2026 · 1 citation
16. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026

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