---
title: "Who cites SpecVLM: Enhancing Speculative — 6 citing papers"
description: "6 papers of the Elamur Research library cite «SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning»…"
canonical: "https://research.elamur.ai/free/en/papers/ji-2025-specvlm-enhancing-speculative-decoding-video/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SpecVLM: Enhancing Speculative Decoding of Video…](https://md.research.elamur.ai/free/en/papers/ji-2025-specvlm-enhancing-speculative-decoding-video/) / cited by

# Who cites «SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning»](https://md.research.elamur.ai/free/en/papers/ji-2025-specvlm-enhancing-speculative-decoding-video/)

1. **[HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference](https://md.research.elamur.ai/free/en/papers/zeng-2026-hybridkv-hybrid-kv-cache-compression/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bowen Zeng, Feiyang Ren, Jun Zhang, et al.*2026 · 4 citations*
2. **[Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-sparrow-text-anchored-window-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Libo Zhang, Zhaoning Zhang, Hongwanyang, et al.*2026 · 2 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ji-2025-specvlm-enhancing-speculative-decoding-video/) — SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning