Daniil Gavrilov

According to our database, Daniil Gavrilov authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Linear Transformers with Learnable Kernel Functions are Better In-Context Models.

Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov

CoRR, 2024

2023

Ahead-of-Time P-Tuning.

Daniil Gavrilov, Nikita Balagansky

CoRR, 2023

Democratized Diffusion Language Model.

Nikita Balagansky, Daniil Gavrilov

CoRR, 2023

2022

Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models.

Mark Rofin, Nikita Balagansky, Daniil Gavrilov

CoRR, 2022

Classifiers are Better Experts for Controllable Text Generation.

Askhat Sitdikov, Nikita Balagansky, Daniil Gavrilov, Alexander Markov

CoRR, 2022

FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks.

Maksim Zubkov, Daniil Gavrilov

CoRR, 2022

PALBERT: Teaching ALBERT to Ponder.

Nikita Balagansky, Daniil Gavrilov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning.

Evgeny Lagutin, Daniil Gavrilov, Pavel Kalaidin

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Weight Squeezing: Reparameterization for Compression and Fast Inference.

Artem V. Chumachenko, Daniil Gavrilov, Pavel Kalaidin

CoRR, 2020

2019

Self-attentive Model for Headline Generation.

Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh

Proceedings of the Advances in Information Retrieval, 2019