🧑‍🔬 Who cites Shang Yang

235 citations of their works from 229 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← Shang Yang

1. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 142 citations
2. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsarXiv:2410.10819Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 114 citations
3. EfficientQAT: Efficient Quantization-Aware Training for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhao Chen, Wenqi Shao, Peng Xu, et al.2025 · 82 citations
4. SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference AccelerationInternational Conference on Learning Representations (ICLR)Jintao Zhang, Jia Wei, Haofeng Huang, et al.2024 · 74 citations
5. MagicPIG: LSH Sampling for Efficient LLM GenerationarXiv:2410.16179Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.2024 · 68 citations
6. XAttention: Block Sparse Attention with Antidiagonal ScoringarXiv:2503.16428Ruyi Xu, Guangxuan Xiao, Haofeng Huang, et al.2025 · 59 citations
7. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
8. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
9. “Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, et al.2025 · 21 citations
10. 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
11. ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoqian Meng, Yilun Luo, Yafei Zhao, et al.2026 · 5 citations
12. MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Zhang, Ziqian Zeng, Hao Peng, et al.2026 · 5 citations
13. HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Bowen Zeng, Feiyang Ren, Jun Zhang, et al.2026 · 4 citations
14. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Han Peng, Jinhao Jiang, Zican Dong, et al.2025 · 4 citations
15. ART: Attention Replacement Technique to Improve Factuality in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqin Luo, Yihao Quan, Xiaofeng Zhang, et al.2026 · 1 citation
16. From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language ModelsFindings of the Association for Computational LinguisticsJunlong Tong, Zilong Wang, YuJie Ren, et al.2026 · 1 citation
17. SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongin Yun, Jaeri Lee, Jongjin Kim, et al.2026 · 1 citation
18. ACBQ: Adaptive Cross-Block Quantization of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hailing Wang, Jianglin Lu, Yitian Zhang, et al.2026
19. Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy ConsumptionConference of the European Chapter of the Association for Computational Linguistics (EACL)Patrycja Smits, Tomasz Walkowiak2026
20. Latent-Condensed Transformer for Efficient Long Context ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zeng You, Yaofo Chen, Qiuwu Chen, et al.2026
21. MATCH: Modulating Attention via In-Context Retrieval for Long-Context TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.2026
22. 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
23. ReFreeKV: Towards Threshold-Free KV Cache CompressionFindings of the Association for Computational LinguisticsXuanfan Ni, Liyan Xu, Chenyang Lyu, et al.2026
24. 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
25. RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Siran Liu, Guoxia Wang, Sa Wang, et al.2026
26. Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language ModelsFindings of the Association for Computational LinguisticsZhen Yang, Xinyue Zhang, Ping Jian, et al.2026

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