🔗 Who cites «LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin»

1. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 citations
2. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable MetricAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Yang Nan, Junjie Ye, et al.2025 · 11 citations
3. Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinman Zhao, Xueyan Zhang, Jiaru Li, et al.2025 · 8 citations
4. PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhai Zhang, Jialong Wu, Deyu Zhou, et al.2025 · 6 citations
5. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
6. Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-TuningFindings of the Association for Computational LinguisticsGanghao Liu, Qin Zhou, Zhe Wang, et al.2026
7. TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lin Mu, Haiyang Wang, Li Ni, et al.2026

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

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