---
title: "Who cites LM-Infinite: Zero-Shot Extreme — 75 citing papers"
description: "75 papers of the Elamur Research library cite «LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LM-Infinite: Zero-Shot Extreme Length…](https://md.research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/) / cited by

# Who cites «LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models»

75 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models»](https://md.research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/)

1. **[MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention](https://md.research.elamur.ai/free/en/papers/jiang-2024-minference-1-0-accelerating-pre/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.*2024 · 197 citations*
2. **[In-Context Learning with Long-Context Models: An In-Depth Exploration](https://md.research.elamur.ai/free/en/papers/bertsch-2025-context-learning-long-context-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Amanda Bertsch, Maor Ivgi, Emily Xiao, et al.*2025 · 75 citations*
3. **[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzheng Wang, Longze Chen, Fu Cheng, et al.*2024 · 71 citations*
4. [**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/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/) — LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models