Who cites «FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions»
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsarXiv:2506.05176Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.2025 · 322 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
- 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
- Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current RetrieversFindings of the Association for Computational LinguisticsQingcheng Zeng, Yuheng Lu, Zeqi Zhou, et al.2026 · 1 citation
- ToolDreamer: Instilling LLM Reasoning Into Tool RetrieversConference of the European Chapter of the Association for Computational Linguistics (EACL)Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, et al.2026 · 1 citation
- 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
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