Mher Safaryan

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upvoted a paper 19 days ago

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning

Paper • 2605.07850 • Published 22 days ago • 18

upvoted 2 papers 4 months ago

DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers

Paper • 2602.02016 • Published Feb 2 • 13

Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation

Paper • 2601.22813 • Published Jan 30 • 61

upvoted a paper 6 months ago

WUSH: Near-Optimal Adaptive Transforms for LLM Quantization

Paper • 2512.00956 • Published Nov 30, 2025 • 23

upvoted a paper 8 months ago

Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization

Paper • 2509.23202 • Published Sep 27, 2025 • 30

upvoted a paper 10 months ago

The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm

Paper • 2507.18553 • Published Jul 24, 2025 • 42

upvoted a paper 12 months ago

Unified Scaling Laws for Compressed Representations

Paper • 2506.01863 • Published Jun 2, 2025 • 19

upvoted 2 papers about 1 year ago

SVD-Free Low-Rank Adaptive Gradient Optimization for Large Language Models

Paper • 2505.17967 • Published May 23, 2025 • 17

Quartet: Native FP4 Training Can Be Optimal for Large Language Models

Paper • 2505.14669 • Published May 20, 2025 • 78

upvoted 2 papers over 1 year ago

HALO: Hadamard-Assisted Lossless Optimization for Efficient Low-Precision LLM Training and Fine-Tuning

Paper • 2501.02625 • Published Jan 5, 2025 • 15

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations

Paper • 2502.05003 • Published Feb 7, 2025 • 44