Alexander Panchenko

Skolkovo Institute of Science and Technology — Russia

Computer Science · Physical Sciences

24h-index2.5kcitations314works1.42yr avg
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Research Topics

Topic Modeling(159), Natural Language Processing Techniques(146), Advanced Text Analysis Techniques(29), Semantic Web and Ontologies(21), Biomedical Text Mining and Ontologies(17)

Publications313 total

Large Language Models for Creation, Enrichment and Evaluation of Taxonomic Graphs
Semantic Web·2026Open Access
S <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.svg" display="inline" id="d1e1436"> <mml:msup> <mml:mrow/> <mml:mrow> <mml:mn>3</mml:mn> </mml:mrow> </mml:msup> </mml:math> : A simple strong sample-effective multimodal dialog system
Data & Knowledge Engineering·2025· 1 cited
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
arXiv (Cornell University)·2025Open Access
So let's replace this phrase with insult... Lessons learned from generation of toxic texts with LLMs
arXiv (Cornell University)·2025Open Access
Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection
Lecture notes in computer science·2025
Evaluating Text Style Transfer: A Nine-Language Benchmark for Text Detoxification
ArXiv.org·2025Open Access
HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation
ArXiv.org·2025Open Access
Memory Efficient LM Compression Using Fisher Information from Low-Rank Representations
Lecture notes in computer science·2025
The Benefits of Query-Based KGQA Systems for Complex and Temporal Questions in LLM Era
Lecture notes in computer science·2025Open Access
ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs
Lecture notes in computer science·2025
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models
arXiv (Cornell University)·2025Open Access
Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA
arXiv (Cornell University)·2025Open Access
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs
arXiv (Cornell University)·2025Open Access
Through the Looking Glass: Common Sense Consistency Evaluation of Weird Images
arXiv (Cornell University)·2025Open Access
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
arXiv (Cornell University)·2025Open Access
Don't Fight Hallucinations, Use Them: Estimating Image Realism using NLI over Atomic Facts
arXiv (Cornell University)·2025Open Access
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark
arXiv (Cornell University)·2025Open Access
Uncertainty-aware abstention in medical diagnosis based on medical texts
arXiv (Cornell University)·2025Open Access
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
arXiv (Cornell University)·2025Open Access
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
arXiv (Cornell University)·2025· 1 citedOpen Access
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Frequent Co-authors

Chris Biemann(17), Artem Shelmanov(6), Natalia Loukachevitch(6), Nikolay Arefyev(6), Alexander Bondarenko(5), Matthias Hagen(5), Dmitry Ustalov(5), Stefano Faralli(4), Simone Paolo Ponzetto(4), Maik Fröbe(4), Benno Stein(4), Robert P. Gilbert(4), Hubert Naets(3), Cédrick Fairon(3), Meriem Beloucif(3), Henning Wachsmuth(3), Martin Potthast(3), Varvara Logacheva(3), Olga N. Morozova(3), Evgenii Tsymbalov(3)