🔗 Who cites «The case for 4-bit precision: k-bit Inference Scaling Laws»

95 papers of our library cite it (of the 140,884 whose bibliographies we read) · 7 with a page here, the most cited first · ← the paper

1. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
2. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUYing Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 399 citations
3. OmniQuant: Omnidirectionally Calibrated Quantization for Large Language ModelsWenqi Shao, Mengzhao Chen, Zhaoyang Zhang, et al.2023 · 193 citations
4. Moshi: a speech-text foundation model for real-time dialogueAlexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 154 citations
5. Pretraining Language Models with Human PreferencesTomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 117 citations
6. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice CodebooksAlbert Tseng, Jerry Chee, Qingyao Sun, et al.2024 · 116 citations
7. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations

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

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