---
title: "Who cites LongEmbed: Extending — 24 citing papers"
description: "24 papers of the Elamur Research library cite «LongEmbed: Extending Embedding Models for Long Context Retrieval», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhu-2024-longembed-extending-embedding-models-long/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LongEmbed: Extending Embedding Models for Long…](https://md.research.elamur.ai/free/en/papers/zhu-2024-longembed-extending-embedding-models-long/) / cited by

# Who cites «LongEmbed: Extending Embedding Models for Long Context Retrieval»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «LongEmbed: Extending Embedding Models for Long Context Retrieval»](https://md.research.elamur.ai/free/en/papers/zhu-2024-longembed-extending-embedding-models-long/)

1. **[mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.*2024 · 237 citations*
2. [**MMTEB: Massive Multilingual Text Embedding Benchmark arXiv:2502.13595**Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.*2025 · 103 citations*](https://md.research.elamur.ai/free/en/papers/enevoldsen-2025-mmteb-massive-multilingual-text-embedding/)
3. [**BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval arXiv:2407.12883**Hongjin Su, Howard Yen, Mengzhou Xia, et al.*2024 · 77 citations*](https://md.research.elamur.ai/free/en/papers/su-2024-bright-realistic-challenging-benchmark-reasoning/)
4. **[Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems](https://md.research.elamur.ai/free/en/papers/laban-2024-summary-haystack-challenge-long-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Philippe Laban, Alexander Fabbri, Caiming Xiong, et al.*2024 · 69 citations*
5. **[DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers](https://md.research.elamur.ai/free/en/papers/ma-2025-drama-diverse-augmentation-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.*2025 · 13 citations*
6. **[Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective](https://md.research.elamur.ai/free/en/papers/zhang-2025-diffusion-vs-autoregressive-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.*2025 · 10 citations*
7. [**Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding arXiv:2410.01671**Yanming Liu, Xinyue Peng, Jiannan Cao, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-bridging-context-gaps-leveraging-coreference/)
8. **[A Survey of Reasoning-Intensive Retrieval: Progress and Challenges](https://md.research.elamur.ai/free/en/papers/wei-2026-survey-reasoning-intensive-retrieval-progress/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiyang Wei, Tingyu Song, Siyue Zhang, et al.*2026*
9. **[Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias](https://md.research.elamur.ai/free/en/papers/schuhmacher-2026-information-representation-fairness-long-document/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Elias Schuhmacher, Andrianos Michail, Juri Opitz, et al.*2026*

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

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