🔗 Who cites «Progress & Compress: A scalable framework for continual learning»

66 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Progress & Compress: A scalable framework for continual learning»

1. Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
2. 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
3. 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
4. Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual LearningFindings of the Association for Computational LinguisticsZheng Wu, Xingyu Lou, Xinbei Ma, et al.2026

62 more papers of our library cite it; they have no page here yet.

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