Ivan V. Oseledets

Venues

Frequent coauthors

Papers

1. Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer
   EACL 2026 ·

   Pavel Tikhonov

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2. Feature Drift: How Fine-Tuning Repurposes Representations in LLMs
   EACL 2026 ·

   Andrey V. Galichin

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3. I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
   AAAI 2026 ·

   Andrey V. Galichin

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4. MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding
   WACV 2026 ·

   Pengyi Li

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5. One Task Vector is not Enough: A Large-Scale Study for In-Context Learning
   ACL 2026 ·

   Pavel Tikhonov

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6. AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems
   IJCAI 2025 ·

   Dmitriy Umerenkov

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7. Associative memory and dead neurons
   ICLR 2025 ·

   Vladimir Fanaskov

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8. CLARITY: Clinical Assistant for Routing, Inference, and Triage
   EMNLP 2025 ·

   Vladimir Shaposhnikov

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9. CLEAR: Character Unlearning in Textual and Visual Modalities
   ACL 2025 ·

   Alexey Dontsov

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10. Certification of Speaker Recognition Models to Additive Perturbations
    AAAI 2025 ·

    Dmitrii Korzh

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11. Exploring the Hidden Capacity of LLMs for One-Step Text Generation
    EMNLP 2025 ·

    Gleb Mezentsev

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12. LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers
    NAACL 2025 ·

    Anton Razzhigaev

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13. Random Direct Preference Optimization for Radiography Report Generation
    MICCAI 2025 ·

    Valentin Samokhin

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14. Run LoRA Run: Faster and Lighter LoRA Implementations
    ACL 2025 ·

    Daria Cherniuk

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15. Anatomical Positional Embeddings
    MICCAI 2024 ·

    Mikhail Goncharov

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16. General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
    ECAI 2024 ·

    Dmitrii Korzh

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17. Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
    ICML 2024 ·

    Alexander Rudikov

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18. Probabilistically Robust Watermarking of Neural Networks
    IJCAI 2024 ·

    Mikhail Pautov

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19. Quantization of Large Language Models with an Overdetermined Basis
    UAI 2024 ·

    Daniil Merkulov

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20. RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
    CIKM 2024 ·

    Danil Gusak

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21. Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
    RecSys 2024 ·

    Gleb Mezentsev

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22. Self-Attentive Sequential Recommendations with Hyperbolic Representations
    RecSys 2024 ·

    Evgeny Frolov

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23. SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
    EMNLP 2024 ·

    Viktoria Chekalina

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24. Your Transformer is Secretly Linear
    ACL 2024 ·

    Anton Razzhigaev

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