| 2026 | ACL | From Where Words Come: Efficient Regularization of Code Tokenizers Through Source Attribution. | Pavel Chizhov, Egor Bogomolov, Ivan P. Yamshchikov |
| 2026 | ACL | Model in Distress: Sentiment Analysis on French Synthetic Social Media. | Pierre-Carl Langlais, Pavel Chizhov, Yannick Detrois, Carlos Rosas Hinostroza, Ivan P. Yamshchikov, Bastien Perroy |
| 2026 | EACL | Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained Models. | Taido Purason, Pavel Chizhov, Ivan P. Yamshchikov, Mark Fishel |
| 2025 | WACV | SwinIA: Self-Supervised Blind-Spot Image Denoising Without Convolutions. | Mikhail Papkov, Pavel Chizhov, Leopold Parts |
| 2024 | ECCV | Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis. | Illia Tsiporenko, Pavel Chizhov, Dmytro Fishman |
| 2024 | EMNLP | BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training. | Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov |
| 2023 | ICLR | Self-Supervised Image Denoising with Swin Transformer. | Pavel Chizhov, Mikhail Papkov |