Who cites «CoIR: A Comprehensive Benchmark for Code Information Retrieval Models»
- MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
- mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
- Tailoring Memory Granularity for Multi-Hop Reasoning over Long ContextsFindings of the Association for Computational LinguisticsPeijun Qing, Xingjian Diao, Chiyu Ma, et al.2026 · 3 citations
- More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense RetrievalWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraChunsheng Zuo, Daniel Khashabi2026 · 2 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
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