Black-Box Face Recovery from Identity Features. - Anton Razzhigaev; Klim Kireev; Edgar Kaziakhmedov; Nurislam Tursynbek; Aleksandr Petiushko (ECCV Workshops (5), 2020)

SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task. - Anton Razzhigaev; Nikolay Arefyev; Alexander Panchenko (SemEval@ACL/IJCNLP, 2021)

Darker than Black-Box: Face Reconstruction from Similarity Queries. - Anton Razzhigaev; Klim Kireev; Igor Udovichenko; Aleksandr Petiushko (CoRR, 2021)

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. - Viktoria Chekalina; Anton Razzhigaev; Albert Sayapin; Evgeny Frolov; Alexander Panchenko (ACL (student), 2022)

Ranking Approach to Monolingual Question Answering over Knowledge Graphs. - Nikita Baramiia; Alina Rogulina; Sergey Petrakov; Valerii Kornilov; Anton Razzhigaev (NLIWoD@ESWC, 2022)

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. - Viktoria Chekalina; Anton Razzhigaev; Albert Sayapin; Alexander Panchenko (CoRR, 2022)

A System for Answering Simple Questions in Multiple Languages. - Anton Razzhigaev; Mikhail Salnikov; Valentin Malykh; Pavel Braslavski 001; Alexander Panchenko (ACL (demo), 2023)

Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. - Anton Razzhigaev; Arseniy Shakhmatov; Anastasia Maltseva; Vladimir Arkhipkin; Igor Pavlov; Ilya Ryabov; Angelina Kuts; Alexander Panchenko; Andrey Kuznetsov; Denis Dimitrov (EMNLP (Demos), 2023)

Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. - Mikhail Salnikov; Maria Lysyuk; Pavel Braslavski 001; Anton Razzhigaev; Valentin Malykh; Alexander Panchenko (KONVENS, 2023)

On Isotropy of Multimodal Embeddings. - Kirill Tyshchuk; Polina Karpikova; Andrew Spiridonov; Anastasiia Prutianova; Anton Razzhigaev; Alexander Panchenko (Inf., 2023)

Your Transformer is Secretly Linear. - Anton Razzhigaev; Matvey Mikhalchuk; Elizaveta Goncharova; Nikolai Gerasimenko; Ivan V. Oseledets; Denis Dimitrov; Andrey Kuznetsov (ACL (1), 2024)

The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. - Anton Razzhigaev; Matvey Mikhalchuk; Elizaveta Goncharova; Ivan V. Oseledets; Denis Dimitrov; Andrey Kuznetsov (EACL (Findings), 2024)

OmniFusion Technical Report. - Elizaveta Goncharova; Anton Razzhigaev; Matvey Mikhalchuk; Maxim Kurkin; Irina Abdullaeva; Matvey Skripkin; Ivan V. Oseledets; Denis Dimitrov; Andrey Kuznetsov (CoRR, 2024)

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders. - Kristian Kuznetsov; Laida Kushnareva; Anton Razzhigaev; Polina Druzhinina; Anastasia Voznyuk; Irina Piontkovskaya; Evgeny Burnaev; Serguei Barannikov (ACL (Findings), 2025)

LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers. - Anton Razzhigaev; Matvey Mikhalchuk; Temurbek Rahmatullaev; Elizaveta Goncharova; Polina Druzhinina; Ivan V. Oseledets; Andrey Kuznetsov (NAACL (Findings), 2025)

Through the Looking Glass: Common Sense Consistency Evaluation of Weird Images. - Elisei Rykov; Kseniia Petrushina; Kseniia Titova; Anton Razzhigaev; Alexander Panchenko; Vasily Konovalov (NAACL (Student Research Workshop), 2025)

Universal Adversarial Attack on Aligned Multimodal LLMs. - Temurbek Rahmatullaev; Polina Druzhinina; Matvey Mikhalchuk; Andrey Kuznetsov; Anton Razzhigaev (CoRR, 2025)

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. - Andrey V. Galichin; Alexey Dontsov; Polina Druzhinina; Anton Razzhigaev; Oleg Y. Rogov; Elena Tutubalina; Ivan V. Oseledets (CoRR, 2025)

Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space. - Anton Razzhigaev; Matvey Mikhalchuk; Klim Kireev; Igor Udovichenko; Andrey Kuznetsov; Aleksandr Petiushko (CoRR, 2025)