3 papers
cs.CL2026
LLM Agents Factory: Retrieval of Domain-Specific LLM Agents
Vitalii Belov, Artyom Sosedka, Andrey Sakhovskiy +3
Large language model (LLM) agents improve task performance by decomposing problems into role-specialized behaviors. However, their practical deployment is often limited by the comp…
cs.LG2026
Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences
Artem Sakhno, Ivan Sergeev, Alexey Shestov +5
Industrial financial systems operate on temporal event sequences such as transactions, user actions, and system logs. While recent research emphasizes representation learning and l…
cs.LG2025
PINE: Pipeline for Important Node Exploration in Attributed Networks
Elizaveta Kovtun, Maksim Makarenko, Natalia Semenova +2
A graph with semantically attributed nodes are a common data structure in a wide range of domains. It could be interlinked web data or citation networks of scientific publications.…