Nikita Balagansky

According to our database, Nikita Balagansky authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Learn Your Reference Model for Real Good Alignment.

Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, Yaroslav Aksenov, Ian Maksimov, Nikita Balagansky, Daniil Gavrilov

CoRR, 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

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