---
title: "Who cites Xiaoqi Ren — 99 papers of our library"
description: "99 papers of the Elamur Research library cite the works of Xiaoqi Ren, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/xiaoqi-ren/cited-by/"
---
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# Who cites Xiaoqi Ren

106 citations of their works from 99 papers of our library (of the 149,439 whose bibliographies we read) · 34 with a page here, the most cited first · [← Xiaoqi Ren](https://md.research.elamur.ai/free/en/authors/xiaoqi-ren/)

1. **[Large Language Models for Information Retrieval: A Survey](https://md.research.elamur.ai/free/en/papers/zhu-2023-large-language-models-information-retrieval/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen*2023 · 339 citations*
2. [**Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models arXiv:2506.05176**Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.*2025 · 322 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-qwen3-embedding-advancing-text/)
3. **[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*
4. [**NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models arXiv:2405.17428**Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.*2024 · 222 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/)
5. [**jina-embeddings-v3: Multilingual Embeddings With Task LoRA arXiv:2409.10173**Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/sturua-2024-jina-embeddings-v3-multilingual-embeddings/)
6. [**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/)
7. [**Making Text Embedders Few-Shot Learners arXiv:2409.15700**Chaofan Li, MingHao Qin, Shitao Xiao, et al.*2024 · 60 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-making-text-embedders-few-shot/)
8. [**Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? arXiv:2406.13121**Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-long-context-language-models-subsume/)
9. [**Gemini Embedding: Generalizable Embeddings from Gemini arXiv:2503.07891**Jinhyuk Lee, Feiyang Chen, Sahil Dua, et al.*2025 · 45 citations*](https://md.research.elamur.ai/free/en/papers/lee-2025-gemini-embedding-generalizable-embeddings-gemini/)
10. **[FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions](https://md.research.elamur.ai/free/en/papers/weller-2025-followir-evaluating-teaching-information-retrieval/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Orion Weller, Benjamin Chang, Sean MacAvaney, et al.*2025 · 40 citations*
11. **[An AI system to help scientists write expert-level empirical software](https://md.research.elamur.ai/free/en/papers/aygun-2025-ai-system-help-scientists/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, et al.*2025 · 27 citations*
12. **[RaDeR: Reasoning-aware Dense Retrieval Models](https://md.research.elamur.ai/free/en/papers/das-2025-rader-reasoning-aware-dense-retrieval/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Debrup Das, Sam O'Nuallain, Razieh Rahimi*2025 · 14 citations*
13. **[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*
14. **[Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks](https://md.research.elamur.ai/free/en/papers/bhatia-2025-swan-arabicmteb-dialect-aware-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, et al.*2025 · 13 citations*
15. [**SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge arXiv:2509.07968**Lukas Haas, Gal Yona, Giovanni D'Antonio, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/haas-2025-simpleqa-verified-reliable-factuality-benchmark/)
16. **[New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models](https://md.research.elamur.ai/free/en/papers/wunderle-2026-new-encoders-german-trained-scratch/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.*2026 · 7 citations*
17. [**GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training arXiv:2505.24581**Omer Nacar, Anis Koubaa, Serry Sibaee, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/nacar-2025-gate-general-arabic-text-embedding/)
18. **[AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages](https://md.research.elamur.ai/free/en/papers/uemura-2026-afrimteb-afrie5-benchmarking-adapting-text/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kosei Uemura, Miaoran Zhang, David Ifeoluwa Adelani*2026 · 4 citations*
19. **[MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch](https://md.research.elamur.ai/free/en/papers/banar-2026-mteb-nl-e5-nl-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.*2026 · 4 citations*
20. **[ClaimDB: A Fact Verification Benchmark over Large Structured Data](https://md.research.elamur.ai/free/en/papers/theologitis-2026-claimdb-fact-verification-benchmark-over/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Theologitis, Preetam Prabhu Srikar Dammu, Chirag Shah, et al.*2026 · 2 citations*
21. **[CRAFT: Training-Free Cascaded Retrieval for Tabular QA](https://md.research.elamur.ai/free/en/papers/singh-2026-craft-training-free-cascaded-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adarsh Singh, Kushal Raj Bhandari, Jianxi Gao, et al.*2026 · 1 citation*
22. **[Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity Estimation](https://md.research.elamur.ai/free/en/papers/nonomura-2026-mitigating-language-bias-multilingual-sentence/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Kanade Nonomura, Keita Fukushima, Risa Kondo, et al.*2026 · 1 citation*
23. **[Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/oh-2026-template-assisted-contrastive-learning-task/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minsik Oh, Jiwei Li, Guoyin Wang*2026 · 1 citation*
24. **[Uncertainty-Aware Contrastive Sentence Embedding With Local Context Representation for Text Classification](https://md.research.elamur.ai/free/en/papers/liu-2026-uncertainty-aware-contrastive-sentence-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Liu, Jiaqing Zhan, Zhichao Chen, et al.*2026 · 1 citation*
25. **[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*
26. **[Addressing Domain Shift in Health Coaching Note Analysis through Factorized Synthetic Data Generation](https://md.research.elamur.ai/free/en/papers/tanzer-2026-addressing-domain-shift-health-coaching/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Michael Tänzer, Iva Bojic, Ashwini Yuvraj Lawate, et al.*2026*
27. **[Automated Screening of Antibacterial Nanoparticle Literature: Dataset Curation and Model Evaluation](https://md.research.elamur.ai/free/en/papers/ozturk-2026-automated-screening-antibacterial-nanoparticle-literature/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Alperen Ozturk, Şaziye Betül Özateş, Sophia Bahar Root, et al.*2026*
28. **[Distilling Large Embeddings via Hyperspherical Householder Quantization](https://md.research.elamur.ai/free/en/papers/wang-2026-distilling-large-embeddings-hyperspherical-householder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihang Wang, Bin Wu, Yueyang Su, et al.*2026*
29. **[Embedding Similarity Is Not Quality Estimation: Lessons from Replacing a Dedicated QE Model](https://md.research.elamur.ai/free/en/papers/zaikis-2026-embedding-similarity-is-not-quality/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Dimitrios Zaikis, Andrea Biondo, Matthew Dixon, et al.*2026*
30. **[ID10M-JAM: Stress-Testing Idiom Identification Under Challenging Context](https://md.research.elamur.ai/free/en/papers/hashiloni-2026-id10m-jam-stress-testing-idiom/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.*2026*
31. **[LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-llms-meet-isolation-kernel-lightweight/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhibo Zhang, Yang Xu, Kai Ming Ting, et al.*2026*
32. **[Negative Sampling Techniques in Dense Retrieval: A Survey](https://md.research.elamur.ai/free/en/papers/wischounig-2026-negative-sampling-techniques-dense-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Laurin Wischounig, Abdelrahman Abdallah, Adam Jatowt*2026*
33. **[Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize](https://md.research.elamur.ai/free/en/papers/wang-2026-self-sum-teaching-agent-decide/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongru Wang, Rui Wang, Jushi Kai, et al.*2026*
34. **[The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wullach-2026-overlooked-role-graded-relevance-thresholds/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tomer Wullach, Ori Shapira, Amir David Nissan Cohen*2026*

65 more citing papers of our library have no page here yet.

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