🔗 Who cites «The Mamba in the Llama: Distilling and Accelerating Hybrid Models»

51 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 «The Mamba in the Llama: Distilling and Accelerating Hybrid Models»

1. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
2. MoBA: Mixture of Block Attention for Long-Context LLMsConference on Neural Information Processing Systems (NeurIPS)Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.2025 · 80 citations
3. The Hidden Attention of Mamba ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ameen Ali Ali, Itamar Zimerman, Lior Wolf2025 · 32 citations
4. Lizard: An Efficient Linearization Framework for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, et al.2026 · 2 citations
5. MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context ModelingarXiv:2602.11761MiniCPM Team, Wenhao An, Yingfa Chen, et al.2026 · 2 citations
6. Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien Van Nguyen, Ryan A. Rossi, Linh Ngo Van, et al.2026
7. Offline Preference Optimization via Maximum Marginal Likelihood EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Saeed Najafi, Alona Fyshe2026

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

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