---
title: "Who cites Stop Looking for “Important — 22 citing papers"
description: "22 papers of the Elamur Research library cite «Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters…"
canonical: "https://research.elamur.ai/free/en/papers/wen-2025-stop-looking-important-tokens-multimodal/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Stop Looking for “Important Tokens” in Multimodal…](https://md.research.elamur.ai/free/en/papers/wen-2025-stop-looking-important-tokens-multimodal/) / cited by

# Who cites «Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More»](https://md.research.elamur.ai/free/en/papers/wen-2025-stop-looking-important-tokens-multimodal/)

1. **[Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-video-compression-commander-plug-play/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xuyang Liu, Yiyu Wang, Junpeng Ma, et al.*2025 · 16 citations*
2. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yicheng Ji, Jun Zhang, Heming Xia, et al.*2025 · 10 citations*
3. **[StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junxi Wang, Te Sun, Jiayi Zhu, et al.*2026 · 3 citations*
4. **[From Inheritance to Saturation: Disentangling the Evolution of Visual Redundancy for Architecture-Aware MLLM Inference Acceleration](https://md.research.elamur.ai/free/en/papers/shi-2026-inheritance-saturation-disentangling-evolution-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaqi Shi, Xulong Zhang, Yuechan Li, et al.*2026*
5. **[Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods](https://md.research.elamur.ai/free/en/papers/yuan-2026-reducing-token-redundancy-lvlms-systematic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanzhang Yuan, Mengxuan Hu, Wenhao Zhang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wen-2025-stop-looking-important-tokens-multimodal/) — Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More