Who cites Zhao Song
- A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 978 citations
- Splitwise: Efficient generative LLM inference using phase splittingISCA 2024Pratyush Patel, Esha Choukse, Chaojie Zhang, et al.2023 · 379 citations
- KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationConference on Neural Information Processing Systems (NeurIPS)Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.2024 · 294 citations
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding HeadsarXiv:2401.10774Tianle Cai, Yuhong Li, Zhengyang Geng, et al.2024 · 278 citations
- PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPUACM SIGOPS Symposium on Operating Systems Principles (SOSP)Yixin Song, Zeyu Mi, Haotong Xie, et al.2023 · 272 citations
- KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CachearXiv:2402.02750Zirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 244 citations
- Quest: Query-Aware Sparsity for Efficient Long-Context LLM InferencearXiv:2406.10774Jiaming Tang, Yilong Zhao, Kan Zhu, et al.2024 · 203 citations
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionConference on Neural Information Processing Systems (NeurIPS)Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 202 citations
- Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsarXiv:2310.01801Suyu Ge, Yunan Zhang, Liyuan Liu, et al.2023 · 202 citations
- OmniQuant: Omnidirectionally Calibrated Quantization for Large Language ModelsarXiv:2308.13137Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, et al.2023 · 195 citations
- LLM in a flash: Efficient Large Language Model Inference with Limited MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Keivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, et al.2024 · 193 citations
- Mooncake: A KVCache-centric Disaggregated Architecture for LLM ServingFAST 2025Ruoyu Qin, Zheming Li, Weiran He, et al.2024 · 161 citations
- Atom: Low-bit Quantization for Efficient and Accurate LLM ServingMLSys 2024Yilong Zhao, Chien-Yu Lin, Kan Zhu, et al.2023 · 156 citations
- Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Jun Zhang, Jue Wang, Huan Li, et al.2024 · 148 citations
- EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 133 citations
- InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsarXiv:2410.10819Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 114 citations
- Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
- Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
- Prompt Cache: Modular Attention Reuse for Low-Latency InferenceMLSys 2024In Gim, Guojun Chen, Seung-seob Lee, et al.2023 · 109 citations
- Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttentionUSENIX ATC 2024Bin Gao, Zhuomin He, Puru Sharma, et al.2024 · 105 citations
- Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
- Small Language Models are the Future of Agentic AIarXiv:2506.02153Peter Belcak, Greg Heinrich, Shizhe Diao, et al.2025 · 92 citations
- LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
- PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM InferenceFindings of the Association for Computational LinguisticsDongjie Yang, Xiaodong Han, Yan Gao, et al.2024 · 91 citations
- D4: Improving LLM Pretraining via Document De-Duplication and DiversificationConference on Neural Information Processing Systems (NeurIPS)Kushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 81 citations
- Punica: Multi-Tenant LoRA ServingMLSys 2024Lequn Chen, Zihao Ye, Yongji Wu, et al.2023 · 81 citations
- S-LoRA: Serving Thousands of Concurrent LoRA AdaptersMLSys 2024Ying Sheng, Shiyi Cao, Dacheng Li, et al.2023 · 80 citations
- The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 71 citations
- XAttention: Block Sparse Attention with Antidiagonal ScoringarXiv:2503.16428Ruyi Xu, Guangxuan Xiao, Haofeng Huang, et al.2025 · 59 citations
- From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
- A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
- Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, et al.2025 · 12 citations
- Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language ModelInternational Conference on Computational Linguistics (COLING)Haoyun Xu, Runzhe Zhan, Yingpeng Ma, et al.2025 · 10 citations
- From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
- Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMsFindings of the Association for Computational LinguisticsYiheng Yang, Yujie Wang, Chi Ma, et al.2026 · 3 citations
- Cross-layer Attention Sharing for Pre-trained Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.2026 · 2 citations
- Do LLMs Encode Functional Importance of Reasoning Tokens ?Annual Meeting of the Association for Computational Linguistics (ACL)Janvijay Singh, Dilek Hakkani-Tür2026 · 2 citations
- Analytical FFN-to-MoE Restructuring via Activation Pattern AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zehua Pei, Hui-Ling Zhen, Lancheng Zou, et al.2026 · 1 citation
- Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank SubstitutionFindings of the Association for Computational LinguisticsYuhua Zhou, Shichao Weng, Changhai Zhou, et al.2026 · 1 citation
- Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Zhao, Xiaocheng Feng, Weihong Zhong, et al.2026
- RoBSA: RoPE-based Blockwise Sparse Multi-head Latent AttentionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Shi, Kairong Luo, Zhen Zheng, et al.2026
- ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, et al.2026
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