Extreme Compression of Large Language Models via Additive Quantization. - Vage Egiazarian; Andrei Panferov; Denis Kuznedelev; Elias Frantar; Artem Babenko; Dan Alistarh (ICML, 2024)

Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. - Armand Nicolicioiu; Eugenia Iofinova; Eldar Kurtic; Mahdi Nikdan; Andrei Panferov; Ilia Markov; Nir Shavit; Dan Alistarh (CoRR, 2024)

Pushing the Limits of Large Language Model Quantization via the Linearity Theorem. - Vladimir Malinovskii; Andrei Panferov; Ivan Ilin; Han Guo; Peter Richtárik; Dan Alistarh (CoRR, 2024)

HIGGS: Pushing the Limits of Large Language Model Quantization via the Linearity Theorem. - Vladimir Malinovskii; Andrei Panferov; Ivan Ilin; Han Guo; Peter Richtárik; Dan Alistarh (NAACL (Long Papers), 2025)

Correlated Quantization for Faster Nonconvex Distributed Optimization. - Andrei Panferov; Yury Demidovich; Ahmad Rammal; Peter Richtárik (UAI, 2025)

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations. - Andrei Panferov; Jiale Chen 004; Soroush Tabesh; Roberto L. Castro; Mahdi Nikdan; Dan Alistarh (CoRR, 2025)

Quartet: Native FP4 Training Can Be Optimal for Large Language Models. - Roberto L. Castro; Andrei Panferov; Soroush Tabesh; Oliver Sieberling; Jiale Chen 004; Mahdi Nikdan; Saleh Ashkboos; Dan Alistarh (CoRR, 2025)

Unified Scaling Laws for Compressed Representations. - Andrei Panferov; Alexandra Volkova; Ionut-Vlad Modoranu; Vage Egiazarian; Mher Safaryan; Dan Alistarh (CoRR, 2025)