🔗 Who cites «Massive Activations in Large Language Models»

81 papers of our library cite it (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← back to «Massive Activations in Large Language Models»

1. FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precisionConference on Neural Information Processing Systems (NeurIPS)Jay Shah, Ganesh Bikshandi, Ying Zhang, et al.2024 · 400 citations
2. PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information FunnelingarXiv:2406.02069Zefan Cai, Yichi Zhang, Bofei Gao, et al.2024 · 155 citations
3. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
4. MiMo-V2-Flash Technical ReportarXiv:2601.02780Xiaomi LLM-Core Team; Bangjun Xiao; Bingquan Xia; Bo Yang; Bofei Gao; Bowen Shen; Chen Zhang; Chenhong He; Chiheng Lou; Fuli Luo; Gang Wang; Gang Xie; Hailin Zhang; Hanglong Lv; Hanyu Li; Heyu Chen; Hongshen Xu; Houbin Zhang; Huaqiu Liu; Jiangshan Duo; Jianyu Wei; Jiebao Xiao; Jinhao Dong; Jun Shi; Junhao Hu; Kainan Bao; Kang Zhou; Lei Li; Liang Zhao; Linghao Zhang; Peidian Li; Qianli Chen; Shaohui Liu; Shihua Yu; Shijie Cao; Shimao Chen; Shouqiu Yu; Shuo Liu; Tianling Zhou; Weijiang Su; Weikun Wang; Wenhan Ma; Xiangwei Deng; Bohan Mao; Bowen Ye; Can Cai; Chenghua Wang; Chengxuan Zhu; Chong Ma; Chun Chen; Chunan Li; Dawei Zhu; Deshan Xiao; Dong Zhang; Duo Zhang; Fangyue Liu; Feiyu Yang; Fengyuan Shi; Guoan Wang; Hao Tian; Hao Wu; Heng Qu; Hongfei Yi; Hongxu An; Hongyi Guan; Xing Zhang; Yifan Song; Yihan Yan; Yihao Zhao; Yingchun Lai; Yizhao Gao; Yu Cheng; Yuanyuan Tian; Yudong Wang; Zhen Tang; Zhengju Tang; Zhengtao Wen; Zhichao Song; Zhixian Zheng; Zihan Jiang; Jian Wen; Jiarui Sun; Jiawei Li; Jinlong Xue; Jun Xia; Kai Fang; Menghang Zhu; Nuo Chen; Qian Tu; Qihao Zhang; Qiying Wang; Rang Li; Rui Ma; Shaolei Zhang; Shengfan Wang; Shicheng Li; Shuhao Gu; Shuhuai Ren; Sirui Deng; Tao Guo; Tianyang Lu; Weiji Zhuang; Weikang Zhang; Weimin Xiong; Wenshan Huang; Wenyu Yang; Xin Zhang; Xing Yong; Xu Wang; Xueyang Xie; Yilin Jiang; Yixin Yang; Yongzhe He; Yu Tu; Yuanliang Dong; Yuchen Liu; Yue Ma; Yue Yu; Yuxing Xiang; Zhaojun Huang; Zhenru Lin; Zhipeng Xu; Zhiyang Chen; Zhonghua Deng; Zihan Zhang;, Zihao Yue2026 · 60 citations
5. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
6. Unveiling Linguistic Regions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhang, Jun Zhao, Qi Zhang, et al.2024 · 39 citations
7. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
8. Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 14 citations
9. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
10. Softpick: No Attention Sink, No Massive Activations with Rectified SoftmaxFindings of the Association for Computational LinguisticsZayd Muhammad Kawakibi Zuhri, Erland Hilman Fuadi, Alham Fikri Aji2026 · 6 citations
11. Attention Sinks in Diffusion Language ModelsFindings of the Association for Computational LinguisticsMaximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.2026 · 5 citations
12. Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
13. Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Binxing Xu, Hao Gu, Lujun Li, et al.2026 · 3 citations
14. Lizard: An Efficient Linearization Framework for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, et al.2026 · 2 citations
15. Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuval Ran-Milo2026 · 1 citation
16. Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level TriggersFindings of the Association for Computational LinguisticsVan Yang, Shouren Wang, Debargha Ganguly, et al.2026 · 1 citation
17. ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha MomentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuquan Wang, Mi Zhang, Yining Wang, et al.2026 · 1 citation
18. Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Youngji Roh, Hyunjin Cho, Jaehyung Kim2026
19. Exploring Attention Attractors in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziheng Wang, Zihao Yue, Wenxuan Wang, et al.2026
20. Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
21. Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story GenerationWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Haziq Khalid, Salsabeel Shapsough, Imran Zualkernan2026
22. TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMsFindings of the Association for Computational LinguisticsXiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, et al.2026

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