🔗 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»

1. Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xuyang Liu, Yiyu Wang, Junpeng Ma, et al.2025 · 16 citations
2. SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token PruningConference on Empirical Methods in Natural Language Processing (EMNLP)Yicheng Ji, Jun Zhang, Heming Xia, et al.2025 · 10 citations
3. StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video UnderstandingFindings of the Association for Computational LinguisticsJunxi 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 AccelerationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaqi Shi, Xulong Zhang, Yuechan Li, et al.2026
5. Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning MethodsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanzhang Yuan, Mengxuan Hu, Wenhao Zhang, et al.2026

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

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