🔗 Who cites «Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention»

65 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention»

1. MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionConference on Neural Information Processing Systems (NeurIPS)Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 202 citations
2. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
3. Chain of Agents: Large Language Models Collaborating on Long-Context TasksConference on Neural Information Processing Systems (NeurIPS)Yusen Zhang, Ruoxi Sun, Yanfei Chen, et al.2024 · 104 citations
4. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
5. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
6. Kimi Linear: An Expressive, Efficient Attention ArchitecturearXiv:2510.26692Kimi Team, Yu Zhang, Zongyu Lin, et al.2025 · 51 citations
7. Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
8. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
9. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Han Peng, Jinhao Jiang, Zican Dong, et al.2025 · 4 citations
10. CoMeT: Collaborative Memory Transformer for Efficient Long Context ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Runsong Zhao, Shilei Liu, Jiwei Tang, et al.2026
11. Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data ScienceFindings of the Association for Computational LinguisticsJunkun Qiu, Min Huang, Qinghai Miao2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/munkhdalai-2024-leave-no-context-behind-efficient/cited-by/