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Add a new paper (GuidedQuant, ICML25) #61

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jusjinuk Jun 8, 2025
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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -12,6 +12,7 @@ This repo collects papers, documents, and codes about model quantization for any
- [Survey\_of\_Binarization](#survey_of_binarization)
- [Survey\_of\_Quantization](#survey_of_quantization)
- [Papers](#papers)
- [2025](#2025)
- [2024](#2024)
- [2023](#2023)
- [2022](#2022)
Expand Down Expand Up @@ -109,6 +110,10 @@ Amir Gholami\* , Sehoon Kim\* , Zhen Dong\* , Zhewei Yao\* , Michael W. Mahoney,

----

### 2025

- [[ICML](https://arxiv.org/abs/2505.07004)] GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance [[code](https://github.com/snu-mllab/GuidedQuant)]![GitHub Repo stars](https://img.shields.io/github/stars/snu-mllab/GuidedQuant)

### 2024

- [[TMLR](https://openreview.net/pdf?id=IEKtMMSblm)] PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off [[code](https://github.com/sachitkuhar/PLUM)][[webpage](https://github.com/sachitkuhar/PLUM)][[video](https://www.youtube.com/watch?v=nE_CYDWqQ_I)][**`bnn`**] [**`inference`**]
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