Intel
Corporate β’ πΊπΈ United States
Big TechPapers (L12M)
68
Researchers (β)
105
Papers w/ Code
9
Papers w/ Dataset
1
Topic Overview
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Recent Papers (see all )
SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs
Computation and Language
Scaling MPI Applications on Aurora
Distributed, Parallel, and Cluster Computing
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
Computation and Language
EDIT: Early Diffusion Inference Termination for dLLMs Based on Dynamics of Training Gradients
Code
Artificial Intelligence
PerfMamba: Performance Analysis and Pruning of Selective State Space Models
Machine Learning (CS)