🔗 Who cites «FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving»

173 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving»

1. 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
2. AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language ReasoningConference on Neural Information Processing Systems (NeurIPS)Wei Fu, Jiaxuan Gao, Xujie Shen, et al.2025 · 80 citations
3. Kevin: Multi-Turn RL for Generating CUDA KernelsarXiv 2025Carlo Baronio, Pietro Marsella, Ben Pan, et al.2025 · 69 citations
4. Deep Kernel Fusion for TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Zixi Zhang, Zhiwen Mo, Yiren Zhao, et al.2026 · 1 citation
5. DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context ReasoningFindings of the Association for Computational LinguisticsHossein Entezari Zarch, Lei Gao, Chaoyi Jiang, et al.2026 · 1 citation
6. HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Shi, Qibo Qiu, Xuefeng, et al.2026
7. 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

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

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