---
title: "Who cites Transformers to SSMs: Distilling — 23 citing papers"
description: "23 papers of the Elamur Research library cite «Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/bick-2024-transformers-ssms-distilling-quadratic-knowledge/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Transformers to SSMs: Distilling Quadratic…](https://md.research.elamur.ai/free/en/papers/bick-2024-transformers-ssms-distilling-quadratic-knowledge/) / cited by

# Who cites «Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models»

23 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 «Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models»](https://md.research.elamur.ai/free/en/papers/bick-2024-transformers-ssms-distilling-quadratic-knowledge/)

1. **[MoBA: Mixture of Block Attention for Long-Context LLMs](https://md.research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.*2025 · 80 citations*
2. **[The Mamba in the Llama: Distilling and Accelerating Hybrid Models](https://md.research.elamur.ai/free/en/papers/wang-2024-mamba-llama-distilling-accelerating-hybrid/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Junxiong Wang; Daniele Paliotta; Avner May; Alexander M. Rush;, Tri Dao*2024 · 59 citations*
3. [**A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond arXiv:2503.21614**Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.*2025 · 55 citations*](https://md.research.elamur.ai/free/en/papers/qu-2025-survey-efficient-reasoning-large-reasoning/)
4. **[The Hidden Attention of Mamba Models](https://md.research.elamur.ai/free/en/papers/ali-2025-hidden-attention-mamba-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ameen Ali Ali, Itamar Zimerman, Lior Wolf*2025 · 32 citations*
5. [**RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval arXiv:2402.18510**Kaiyue Wen, Xingyu Dang, Kaifeng Lyu*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/wen-2024-rnns-transformers-yet-key-bottleneck/)
6. [**A Survey on Latent Reasoning arXiv:2507.06203**Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-survey-latent-reasoning/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/bick-2024-transformers-ssms-distilling-quadratic-knowledge/) — Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models