🧑‍🔬 Who cites Dan Alistarh

454 citations of their works from 406 papers of our library (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · ← Dan Alistarh

1. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
2. LLM-Pruner: On the Structural Pruning of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Xinyin Ma, Gongfan Fang, Xinchao Wang2023 · 452 citations
3. QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMsConference on Neural Information Processing Systems (NeurIPS)Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, et al.2024 · 254 citations
4. EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyarXiv:2401.15077Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 208 citations
5. SqueezeLLM: Dense-and-Sparse QuantizationarXiv:2306.07629Sehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 170 citations
6. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice CodebooksarXiv:2402.04396Albert Tseng, Jerry Chee, Qingyao Sun, et al.2024 · 117 citations
7. GLM-5: from Vibe Coding to Agentic EngineeringarXiv:2602.15763Aohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 95 citations
8. 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
9. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
10. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
11. “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
12. Baichuan-M2: Scaling Medical Capability with Large Verifier SystemarXiv:2509.02208Chengfeng Dou, Chong Liu, Fan Yang, et al.2025 · 19 citations
13. 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
14. BeamLoRA: Beam-Constraint Low-Rank AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Naibin Gu, Zhenyu Zhang, Xiyu Liu, et al.2025 · 6 citations
15. 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
16. Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language ModelsFindings of the Association for Computational LinguisticsHe Xiao, Qingyao Yang, Dirui Xie, et al.2026 · 5 citations
17. 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
18. Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic HierarchiesFindings of the Association for Computational LinguisticsChanghai Zhou, Shiyang Zhang, Yuhua Zhou, et al.2026 · 3 citations
19. 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
20. 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
21. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat FormatsAnnual Meeting of the Association for Computational Linguistics (ACL)Pengxiang Zhao, Hui-Ling Zhen, Xing Li, et al.2026 · 1 citation
22. 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
23. Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Cuong Pham, Anh Dung Hoang, Cuong C. Nguyen, et al.2026
24. LBLLM: Lightweight Binarization of Large Language Models via Three-Stage DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Siqing Song, Chuang Wang, Yong Lang, et al.2026
25. PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shresth Mishra2026

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