Alireza Dadgarnia

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upvoted a collection 6 days ago

GSQ

Collection

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling, https://huggingface.co/papers/2604.18556 • 9 items • Updated 6 days ago • 5

upvoted a paper 11 days ago

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling

Paper • 2604.18556 • Published Apr 20 • 7

upvoted a paper 12 months ago

Unified Scaling Laws for Compressed Representations

Paper • 2506.01863 • Published Jun 2, 2025 • 19

upvoted a paper about 1 year ago

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