activity
20032026
most citedBayesHammer: Bayesian clustering for error correction in single-cell sequencing

501 citations · 1k across the 33 of their papers we have counts for

collaborators

38 papers

cs.DS2026

New Bounds on the Competitive Ratio of Longest Queue Drop: 1.46929591 <= CR(LQD) <= 1.683652

Alex Davydow, Sergey Nikolenko

We study the competitive ratio of Longest Queue Drop (LQD), the canonical buffer management policy for shared memory switches, for which the previously published bounds were CR(LQD…

cs.IR2025

Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising

Qi Yang, Marlo Ongpin, Sergey Nikolenko +2

The opaqueness of modern digital advertising, exemplified by platforms such as Meta Ads, raises concerns regarding their autonomous control over audience targeting, pricing structu…

cs.CL2023

GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding

Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout +2

Grammatical error correction (GEC) is an important NLP task that is currently usually solved with autoregressive sequence-to-sequence models. However, approaches of this class are…

cs.CL2023

Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval

Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova +4

A recent trend in multimodal retrieval is related to postprocessing test set results via the dual-softmax loss (DSL). While this approach can bring significant improvements, it usu…

cs.CL2023

AI-generated text boundary detection with RoFT

Laida Kushnareva, Tatiana Gaintseva, German Magai +6

Due to the rapid development of large language models, people increasingly often encounter texts that may start as written by a human but continue as machine-generated. Detecting t…

cs.CL2023★ 1 cited

Benchmarking Multilabel Topic Classification in the Kyrgyz Language

Anton Alekseev, Sergey I. Nikolenko, Gulnara Kabaeva

Kyrgyz is a very underrepresented language in terms of modern natural language processing resources. In this work, we present a new public benchmark for topic classification in Kyr…