Author

Mohammad Mozaffari

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#artificial intelligence Dec 2025

OPTIMA: Optimal One-shot Pruning for LLMs via Quadratic Programming Reconstruction

An accelerator-friendly QP solver is implemented that accumulates one Hessian per weight matrix and solves many small QPs in parallel with a convergence certificate per column, enabling one-shot post-training pruning at scale on a single accelerator without fine-tuning.

Mohammad Mozaffari, Samuel Kushnir, Maryam Mehri Dehnavi et al. · arXiv.org · 2 citations

#artificial intelligence Preprint Sep 2026

ROTE: Benchmarking Neural Memorization on Complexity-Controlled Symbolic Sequences

The study establishes a connection between the complexity of algorithmic sequences and the memorization capacity of neural architectures, revealing the trade-offs involving memorization quality, rollout stability, and computational expense.

Xin-Ye Chen, S. Güttel, Mohammad Mozaffari · 0 citations

Preprint Aug 2026

Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression

Prohibitive computational and environmental costs impede the scalable deployment of Large Language Models (LLMs). Traditional compression techniques (sparsity, quantization, low-rank approximations) are typically applied in isolation, and each hits an accuracy-efficiency wall. This thesis proposes the"Compression Trini...

Mohammad Mozaffari · 1 citation