---
title: "Who cites MoBA: Mixture of Block Attention — 66 citing papers"
description: "66 papers of the Elamur Research library cite «MoBA: Mixture of Block Attention for Long-Context LLMs», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MoBA: Mixture of Block Attention for Long-Context…](https://md.research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/) / cited by

# Who cites «MoBA: Mixture of Block Attention for Long-Context LLMs»

66 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «MoBA: Mixture of Block Attention for Long-Context LLMs»](https://md.research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/)

1. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)
2. [**MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention arXiv:2506.13585**MiniMax, Aili Chen, Aonian Li, et al.*2025 · 58 citations*](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/) — MoBA: Mixture of Block Attention for Long-Context LLMs