---
title: "Who cites TurboRAG: Accelerating — 20 citing papers"
description: "20 papers of the Elamur Research library cite «TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for…"
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---
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# Who cites «TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text»](https://md.research.elamur.ai/free/en/papers/lu-2025-turborag-accelerating-retrieval-augmented-generation/)

1. **[Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-attention-entropy-is-key-factor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhisong Zhang, Yan Wang, Xinting Huang, et al.*2025 · 14 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lu-2025-turborag-accelerating-retrieval-augmented-generation/) — TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
