🔗 Who cites «Extreme Compression of Large Language Models via Additive Quantization»

80 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «Extreme Compression of Large Language Models via Additive Quantization»

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. 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
3. SqueezeLLM: Dense-and-Sparse QuantizationarXiv:2306.07629Sehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 170 citations
4. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice CodebooksarXiv:2402.04396Albert Tseng, Jerry Chee, Qingyao Sun, et al.2024 · 117 citations
5. 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
6. “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
7. 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
8. 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
9. FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware QuantizationFindings of the Association for Computational LinguisticsHaiyang Xiao, Weiqing Li, Jinyue Guo, et al.2026
10. S2O: Early Stopping for Sparse Attention via Online PermutationAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Zhang, Songwei Liu, Chenqian Yan, et al.2026
11. SCVQ: Sparse-Compensated Vector Quantization for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Zhou, Yujun Diao, Zicheng Kong, et al.2026

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

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