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Dan Alistarh — most-cited papers & profile · Large Language Models
← authors
·
overview
Dan Alistarh
18
papers ·
105
citations ·
30
h-index
Red Hat (United States) · Institute of Science and Technology Austria
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Behemoth: Benchmarking Unlearning In Llms Using Fully Synthetic Data
2026
ECO: Quantized Training without Full-Precision Master Weights
2026
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
2025
Quartet: Native FP4 Training Can Be Optimal for Large Language Models
2025
The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm
2025
Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization
2025
WUSH: Near-Optimal Adaptive Transforms for LLM Quantization
2025
Efficient Data Selection at Scale via Influence Distillation
2025
DarwinLM: Evolutionary Structured Pruning of Large Language Models
2025
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
2023
EvoPress: Towards Optimal Dynamic Model Compression via Evolutionary Search
2024
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization
2024
Top co-authors
Eldar Kurtic
· 4
Denis Kuznedelev
· 3
Jiale Chen
· 3
Mahdi Nikdan
· 3
Oliver Sieberling
· 3
Torsten Hoefler
· 3
Vage Egiazarian
· 3
Alexandre Marques
· 2
Andrei Panferov
· 2
Mark Kurtz
· 2
Roberto L. Castro
· 2
Saleh Ashkboos
· 2
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