🔗 Who cites «Soft Merging of Experts with Adaptive Routing»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Soft Merging of Experts with Adaptive Routing»

1. LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionarXiv:2307.13269Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.2023 · 108 citations
2. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
3. Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningarXiv:2309.05444Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.2023 · 69 citations
4. LLM Augmented LLMs: Expanding Capabilities through CompositionarXiv:2401.02412Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, et al.2024 · 30 citations
5. Revisiting Model Interpolation for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Taiqiang Wu, Runming Yang, Tao Liu, et al.2026 · 6 citations
6. SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive LearningFindings of the Association for Computational LinguisticsBoyan Shi, Wei Chen, Shuyuan Zhao, et al.2026

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

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