Self-attentive Model for Headline Generation. - Daniil Gavrilov; Pavel Kalaidin; Valentin Malykh (ECIR (2), 2019)

Weight Squeezing: Reparameterization for Compression and Fast Inference. - Artem V. Chumachenko; Daniil Gavrilov; Pavel Kalaidin (CoRR, 2020)

Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning. - Evgeny Lagutin; Daniil Gavrilov; Pavel Kalaidin (EACL, 2021)

PALBERT: Teaching ALBERT to Ponder. - Nikita Balagansky; Daniil Gavrilov (NeurIPS, 2022)

FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks. - Maksim Zubkov; Daniil Gavrilov (CoRR, 2022)

Classifiers are Better Experts for Controllable Text Generation. - Askhat Sitdikov; Nikita Balagansky; Daniil Gavrilov; Alexander Markov (CoRR, 2022)

Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models. - Mark Rofin; Nikita Balagansky; Daniil Gavrilov (CoRR, 2022)

Democratized Diffusion Language Model. - Nikita Balagansky; Daniil Gavrilov (CoRR, 2023)

Ahead-of-Time P-Tuning. - Daniil Gavrilov; Nikita Balagansky (CoRR, 2023)

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 (ACL (1), 2024)

Mechanistic Permutability: Match Features Across Layers. - Nikita Balagansky; Ian Maksimov; Daniil Gavrilov (ICLR, 2025)

Learn Your Reference Model for Real Good Alignment. - Alexey Gorbatovski; Boris Shaposhnikov; Alexey Malakhov; Nikita Surnachev; Yaroslav Aksenov; Ian Maksimov; Nikita Balagansky; Daniil Gavrilov (ICLR, 2025)

The Differences Between Direct Alignment Algorithms are a Blur. - Alexey Gorbatovski; Boris Shaposhnikov; Viacheslav Sinii; Alexey Malakhov; Daniil Gavrilov (CoRR, 2025)

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models. - Daniil Laptev; Nikita Balagansky; Yaroslav Aksenov; Daniil Gavrilov (CoRR, 2025)

You Do Not Fully Utilize Transformer's Representation Capacity. - Gleb Gerasimov; Yaroslav Aksenov; Nikita Balagansky; Viacheslav Sinii; Daniil Gavrilov (CoRR, 2025)

Steering LLM Reasoning Through Bias-Only Adaptation. - Viacheslav Sinii; Alexey Gorbatovski; Artem Cherepanov; Boris Shaposhnikov; Nikita Balagansky; Daniil Gavrilov (CoRR, 2025)

Train Sparse Autoencoders Efficiently by Utilizing Features Correlation. - Vadim Kurochkin; Yaroslav Aksenov; Daniil Laptev; Daniil Gavrilov; Nikita Balagansky (CoRR, 2025)

Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy. - Nikita Balagansky; Yaroslav Aksenov; Daniil Laptev; Vadim Kurochkin; Gleb Gerasimov; Nikita Koryagin; Daniil Gavrilov (CoRR, 2025)

ESSA: Evolutionary Strategies for Scalable Alignment. - Daria Korotyshova; Boris Shaposhnikov; Alexey Malakhov; Nikita Surnachev; George Bredis; Alexey Gorbatovski; Viacheslav Sinii; Daniil Gavrilov (CoRR, 2025)

Teach Old SAEs New Domain Tricks with Boosting. - Nikita Koriagin; Yaroslav Aksenov; Daniil Laptev; Gleb Gerasimov; Nikita Balagansky; Daniil Gavrilov (CoRR, 2025)