Pavel Chizhov

According to our database, Pavel Chizhov authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

CoRR, April, 2026

The Company You Keep: How LLMs Respond to Dark Triad Traits.

Zeyi Lu, Angelica Henestrosa, Pavel Chizhov, Ivan P. Yamshchikov

CoRR, March, 2026

Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained Models.

Taido Purason, Pavel Chizhov, Ivan P. Yamshchikov, Mark Fishel

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

From Where Words Come: Efficient Regularization of Code Tokenizers Through Source Attribution.

Pavel Chizhov, Egor Bogomolov, Ivan P. Yamshchikov

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models.

Taido Purason, Pavel Chizhov, Ivan P. Yamshchikov, Mark Fishel

CoRR, December, 2025

Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models.

Aleksandra Sorokovikova, Pavel Chizhov, Iuliia Eremenko, Ivan P. Yamshchikov

CoRR, June, 2025

Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training.

Pierre-Carl Langlais, Carlos Rosas Hinostroza, Mattia Nee, Catherine Arnett, Pavel Chizhov, Eliot Jones, Irène Girard, David Mach, Anastasia Stasenko, Ivan P. Yamshchikov

CoRR, June, 2025

Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family.

Pierre-Carl Langlais, Pavel Chizhov, Mattia Nee, Carlos Rosas Hinostroza, Matthieu Delsart, Irène Girard, Othman Hicheur, Anastasia Stasenko, Ivan P. Yamshchikov

CoRR, April, 2025

What the HellaSwag? On the Validity of Common-Sense Reasoning Benchmarks.

Pavel Chizhov, Mattia Nee, Pierre-Carl Langlais, Ivan P. Yamshchikov

CoRR, April, 2025

SwinIA: Self-Supervised Blind-Spot Image Denoising Without Convolutions.

Mikhail Papkov, Pavel Chizhov, Leopold Parts

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training.

Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis.

Illia Tsiporenko, Pavel Chizhov, Dmytro Fishman

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

SwinIA: Self-Supervised Blind-Spot Image Denoising with Zero Convolutions.

Mikhail Papkov, Pavel Chizhov

CoRR, 2023

Self-Supervised Image Denoising with Swin Transformer.

Pavel Chizhov, Mikhail Papkov

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023