🔗 Who cites «KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding»

1. SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep LayersAnnual Meeting of the Association for Computational Linguistics (ACL)Zicong Tang, Shi Luohe, Zuchao Li, et al.2025 · 9 citations
2. Faster MoE LLM Inference for Extremely Large ModelsFindings of the Association for Computational LinguisticsHaoqi Yang, Luohe Shi, Qiwei Li, et al.2026 · 8 citations
3. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic HorizonsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Ma, Teng Xiao, Zuchao Li, et al.2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/luohe-2025-kv-latent-dimensional-level-kv/cited-by/