Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
No confident code implementation found for this paper. 2 possible matches can be shown below.
No confident code implementation found for this paper. 2 possible matches can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration
Structured-NeRF: Hierarchical Scene Graph with Neural Representation
CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image
RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
@article{shen2026targeted,
title = {Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision},
author = {Li Shen and A. Tang and Yong Luo and Tao Sun and Han Hu and Xiaochun Cao},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:415776c55a8de4fd7b61c08cd9375fbadc70a325},
journal = {ICML 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/415776c55a8de4fd7b61c08cd9375fbadc70a325)