Daniil Gavrilov

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Linear Interpolation

Text Generation

Reinforcement Learning

Individual Classifiers

Top Venues

Publications

Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, Yaroslav Aksenov, Ian Maksimov, Nikita Balagansky, Daniil Gavrilov
Learn Your Reference Model for Real Good Alignment. CoRR (2024)
Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov
Linear Transformers with Learnable Kernel Functions are Better In-Context Models. ACL (1) (2024)
Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov
Linear Transformers with Learnable Kernel Functions are Better In-Context Models. CoRR (2024)
Daniil Gavrilov, Nikita Balagansky
Ahead-of-Time P-Tuning. CoRR (2023)
Nikita Balagansky, Daniil Gavrilov
Democratized Diffusion Language Model. CoRR (2023)
Nikita Balagansky, Daniil Gavrilov
PALBERT: Teaching ALBERT to Ponder. NeurIPS (2022)
Askhat Sitdikov, Nikita Balagansky, Daniil Gavrilov, Alexander Markov
Classifiers are Better Experts for Controllable Text Generation. CoRR (2022)
Maksim Zubkov, Daniil Gavrilov
FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks. CoRR (2022)
Daniil Gavrilov, Nikita Balagansky
PALBERT: Teaching ALBERT to Ponder. RepL4NLP@ACL (2022)
Nikita Balagansky, Daniil Gavrilov
PALBERT: Teaching ALBERT to Ponder. CoRR (2022)
Mark Rofin, Nikita Balagansky, Daniil Gavrilov
Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models. CoRR (2022)
Evgeny Lagutin, Daniil Gavrilov, Pavel Kalaidin
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning. CoRR (2021)
Evgeny Lagutin, Daniil Gavrilov, Pavel Kalaidin
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning. EACL (2021)
Artem Chumachenko, Daniil Gavrilov, Pavel Kalaidin
Weight Squeezing: Reparameterization for Compression and Fast Inference. CoRR (2020)
Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh
Self-Attentive Model for Headline Generation. CoRR (2019)
Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh
Self-attentive Model for Headline Generation. ECIR (2) (2019)