1 citations · 2 across the 6 of their papers we have counts for
7 papers
Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models
Marjan Celikik, Ana Peleteiro Ramallo, Javier Morales
Corrective feedback is among the best-evidenced drivers of second-language acquisition, yet corrections delivered during lessons rarely accumulate into an actionable view of gramma…
Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
Andrii Dzhoha, Alisa Mironenko, Evgeny Labzin +3
Modern sequential recommender systems commonly use transformer-based models for next-item prediction. While these models demonstrate a strong balance between efficiency and quality…
Reducing Popularity Influence by Addressing Position Bias
Andrii Dzhoha, Alexey Kurennoy, Vladimir Vlasov +1
Position bias poses a persistent challenge in recommender systems, with much of the existing research focusing on refining ranking relevance and driving user engagement. However, i…
Building a Scalable, Effective, and Steerable Search and Ranking Platform
Marjan Celikik, Jacek Wasilewski, Ana Peleteiro Ramallo +7
Modern e-commerce platforms offer vast product selections, making it difficult for customers to find items that they like and that are relevant to their current session intent. Thi…
Reusable Self-Attention Recommender Systems in Fashion Industry Applications
Marjan Celikik, Jacek Wasilewski, Ana Peleteiro Ramallo
A large number of empirical studies on applying self-attention models in the domain of recommender systems are based on offline evaluation and metrics computed on standardized data…
Reusable Self-Attention-based Recommender System for Fashion
Marjan Celikik, Jacek Wasilewski, Sahar Mbarek +5
A large number of empirical studies on applying self-attention models in the domain of recommender systems are based on offline evaluation and metrics computed on standardized data…
Outfit Generation and Recommendation -- An Experimental Study
Marjan Celikik, Matthias Kirmse, Timo Denk +4
Over the past years, fashion-related challenges have gained a lot of attention in the research community. Outfit generation and recommendation, i.e., the composition of a set of it…