---
title: "Who cites KV-Latent: Dimensional-level KV — 6 citing papers"
description: "6 papers of the Elamur Research library cite «KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional…"
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---
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# 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»](https://md.research.elamur.ai/free/en/papers/luohe-2025-kv-latent-dimensional-level-kv/)

1. **[SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers](https://md.research.elamur.ai/free/en/papers/tang-2025-spindlekv-novel-kv-cache-reduction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zicong Tang, Shi Luohe, Zuchao Li, et al.*2025 · 9 citations*
2. **[Faster MoE LLM Inference for Extremely Large Models](https://md.research.elamur.ai/free/en/papers/yang-2026-faster-moe-llm-inference-extremely/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoqi 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 Horizons](https://md.research.elamur.ai/free/en/papers/ma-2026-ar-diffusion-efficiently-adapting-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyu Ma, Teng Xiao, Zuchao Li, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/luohe-2025-kv-latent-dimensional-level-kv/) — KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding