3 papers
cs.IR2025
Leveraging Language Semantics for Collaborative Filtering with TextGCN and TextGCN-MLP: Zero-Shot vs In-Domain Performance
Andrei Chernov, Haroon Wahab, Oleg Novitskij
In recent years, various approaches have been proposed to leverage large language models (LLMs) for incorporating textual information about items into recommender systems. Existing…
cs.CL2025
Evaluating Expert Contributions in a MoE LLM for Quiz-Based Tasks
Andrei Chernov
Recently, Large Language Models (LLMs) with Mixture of Experts (MoE) layers have gained significant attention. Currently, state-of-the-art LLMs utilize this architecture. There is…
cs.LG2025
(GG) MoE vs. MLP on Tabular Data
Andrei Chernov
In recent years, significant efforts have been directed toward adapting modern neural network architectures for tabular data. However, despite their larger number of parameters and…