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Alexey Dontsov
Observed name:
Dontsov, Alexey
Institutions:
National Research University Higher School of Economics,
Skolkovo Institute of Science and Technology,
AIRI - Artificial Intelligence Research Institute
Observed institutions:
National Research University Higher School of Economics,
Skolkovo Institute of Science and Technology,
Kazan Federal University,
AIRI - Artificial Intelligence Research Institute
OpenAlex ID:
A5130336588
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
2026
·
Andrey V. Galichin
, Alexey Dontsov
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
1
PDF
Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?
2026
·
Korznikov, Anton
, Galichin, Andrey
, et al.
·
arXiv (Cornell University)
·
1
PDF
Motivating Next-Gen Accelerators with Flexible N:M Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
2026
·
Shirin Alanova
, Kristina Kazistova
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
AIRI NLP Team at EHRSQL 2024 Shared Task: T5 and Logistic Regression to the Rescue
2024
·
Oleg Somov
, Alexey Dontsov
, et al.
·
Clinical Natural Language Processing Workshop (ClinicalNLP)
·
1
PDF
Context or Knowledge: How LLMs Attribute Their Own Answers
2026
·
Afendulev, Kirill
, Dontsov, Alexey
, et al.
·
arXiv (Cornell University)
PDF
From Stories to Features: Scaling Concept Vectors for AI Alignment & Interpretability
2026
·
Scherbakov, Dmitry
, Chernikov, Oleg
, et al.
·
arXiv (Cornell University)
PDF
Sparse Transformer: a Controlled Testbed for Mechanistic Interpretability
2026
·
Korznikov, Anton
, Dontsov, Alexey
, et al.
·
arXiv (Cornell University)
PDF
Motivating Next-Gen Accelerators with Flexible Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
2026
·
Association for Computational Linguistics 2026
, Alanova, Shirin
, et al.
·
Underline Science Inc.
Feature Drift: How Fine-Tuning Repurposes Representations in LLMs
2026
·
Association for Computational Linguistics 2026
, Dontsov, Alexey
, et al.
·
Underline Science Inc.
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
2026
·
Association for Artificial Intelligence 2026
, Dontsov, Alexey
, et al.
·
Underline Science Inc.
Out of Distribution, Out of Luck: Process Rewards Misguide Reasoning Models
2026
·
Alexey Dontsov
, Anton Korznikov
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
PDF
Feature Drift: How Fine-Tuning Repurposes Representations in LLMs
2026
·
Andrey V. Galichin
, Anton Korznikov
, et al.
·
Findings of the Association for Computational Linguistics: EACL
PDF
What Attention Recalls and Recurrence Controls in Hybrid Language Models
2026
·
Kirill Afendulev
, Alexey Dontsov
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Forcing a Letter Suppresses Refusal: Mechanistic Evidence from WMDP
2026
·
Anna Antipova
, Stepan Epifantsev
, et al.
·
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)
PDF
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Works count:
18
Citation count:
4
H-index:
1
I10-index:
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