Who cites «LongEmbed: Extending Embedding Models for Long Context Retrieval»
- mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 237 citations
- MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 77 citations
- Summary of a Haystack: A Challenge to Long-Context LLMs and RAG SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Philippe Laban, Alexander Fabbri, Caiming Xiong, et al.2024 · 69 citations
- DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense RetrieversAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.2025 · 13 citations
- Diffusion vs. Autoregressive Language Models: A Text Embedding PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP)Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.2025 · 10 citations
- Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual UnderstandingarXiv:2410.01671Yanming Liu, Xinyue Peng, Jiannan Cao, et al.2024 · 10 citations
- A Survey of Reasoning-Intensive Retrieval: Progress and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyang Wei, Tingyu Song, Siyue Zhang, et al.2026
- Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language BiasFindings of the Association for Computational LinguisticsElias Schuhmacher, Andrianos Michail, Juri Opitz, et al.2026
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