---
title: "Who cites Sharp Nearby, Fuzzy Far Away: — 99 citing papers"
description: "99 papers of the Elamur Research library cite «Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context», found in their…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sharp Nearby, Fuzzy Far Away: How Neural Language…](https://md.research.elamur.ai/free/en/papers/khandelwal-2018-sharp-nearby-fuzzy-far-away/) / cited by

# Who cites «Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context»

99 papers of our library cite it (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · [← back to «Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context»](https://md.research.elamur.ai/free/en/papers/khandelwal-2018-sharp-nearby-fuzzy-far-away/)

1. **[Lost in the Middle: How Language Models Use Long Contexts](https://md.research.elamur.ai/free/en/papers/liu-2023-lost-middle-language-models-use/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nelson F. Liu, Kevin Lin, John Hewitt, et al.*2023 · 2,584 citations*
2. **[Linguistic Knowledge and Transferability of Contextual Representations](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.*2019 · 1,021 citations*
3. [**Calibrate Before Use: Improving Few-Shot Performance of Language Models arXiv:2102.09690**Tony Z. Zhao, Eric Wallace, Shi Feng, et al.*2021 · 825 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2021-calibrate-before-use-improving-few/)
4. **[Analysis Methods in Neural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/belinkov-2019-analysis-methods-neural-language-processing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yonatan Belinkov, James Glass*2019 · 740 citations*
5. **[Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 592 citations*
6. **[Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eric Wallace, Yizhong Wang, Sujian Li, et al.*2019 · 352 citations*
7. **[The Power of Noise: Redefining Retrieval for RAG Systems](https://md.research.elamur.ai/free/en/papers/cuconasu-2024-power-noise-redefining-retrieval-rag/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, et al.*2024 · 312 citations*
8. **[SCROLLS: Standardized CompaRison Over Long Language Sequences](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 165 citations*
9. **[Locally Typical Sampling](https://md.research.elamur.ai/free/en/papers/meister-2023-locally-typical-sampling/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Clara Meister, Tiago Pimentel, Gian Wiher, et al.*2023 · 157 citations*
10. **[Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?](https://md.research.elamur.ai/free/en/papers/pham-2021-out-order-how-important-is/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Thang Pham, Trung Bui, Long Mai, et al.*2021 · 148 citations*
11. **[Character-Level Language Modeling with Deeper Self-Attention](https://md.research.elamur.ai/free/en/papers/al-rfou-2018-character-level-language-modeling-deeper/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Rami Al-Rfou, Dokook Choe, Noah Constant, et al.*2018 · 138 citations*
12. **[Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems](https://md.research.elamur.ai/free/en/papers/miao-2023-towards-efficient-generative-large-language/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.*2023 · 110 citations*
13. **[Understanding Learning Dynamics Of Language Models with SVCCA](https://md.research.elamur.ai/free/en/papers/saphra-2019-understanding-learning-dynamics-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Naomi Saphra, Adam Lopez*2019 · 107 citations*
14. **[Do Long-Range Language Models Actually Use Long-Range Context?](https://md.research.elamur.ai/free/en/papers/sun-2021-do-long-range-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, et al.*2021 · 101 citations*
15. **[What Context Features Can Transformer Language Models Use?](https://md.research.elamur.ai/free/en/papers/connor-2021-what-context-features-can-transformer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joe O'Connor, Jacob Andreas*2021 · 77 citations*
16. **[How Furiously Can Colorless Green Ideas Sleep? Sentence Acceptability in Context](https://md.research.elamur.ai/free/en/papers/lau-2020-how-furiously-can-colorless-green/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jey Han Lau, Carlos Armendariz, Shalom Lappin, et al.*2020 · 69 citations*
17. **[RNNs can generate bounded hierarchical languages with optimal memory](https://md.research.elamur.ai/free/en/papers/hewitt-2020-rnns-can-generate-bounded-hierarchical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Hewitt, Michael Hahn, Surya Ganguli, et al.*2020 · 65 citations*
18. [**Block-State Transformers arXiv:2306.09539**Mahan Fathi, Jonathan Pilault, Orhan Firat, et al.*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/fathi-2023-block-state-transformers/)
19. **[MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents](https://md.research.elamur.ai/free/en/papers/jiang-2026-magma-multi-graph-based-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dongming Jiang, Yi Li, Guanpeng Li, et al.*2026 · 8 citations*
20. **[Dotless Arabic Text for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/shaibani-2025-dotless-arabic-text-natural-language/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Maged S. Al-Shaibani, Irfan Ahmad*2025 · 3 citations*
21. [**Dotless Representation of Arabic Text: Analysis and Modeling arXiv:2312.16104**Maged S. Al-Shaibani, Irfan Ahmad*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2023-dotless-representation-arabic-text-analysis/)
22. **[Efficient Learned Data Compression via Dual-Stream Feature Decoupling](https://md.research.elamur.ai/free/en/papers/ma-2026-efficient-learned-data-compression-dual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huidong Ma, Xinyan Shi, Sun Hui, et al.*2026*
23. **[Mitigating Tokenization-Induced Distance Distortion in Long-Context Multilingual Machine Translation](https://md.research.elamur.ai/free/en/papers/selialia-2026-mitigating-tokenization-induced-distance-distortion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Khotso Selialia, Antoine Nzeyimana, Fatima M. Anwar*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/khandelwal-2018-sharp-nearby-fuzzy-far-away/) — Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context