5 papers
PersonalAI 2.0: Enhancing knowledge graph traversal/retrieval with planning mechanism for Personalized LLM Agents
Mikhail Menschikov, Matvey Iskornev, Alexander Kharitonov +8
We introduce PersonalAI 2.0 (PAI-2), a novel framework designed to enhance LLM-based systems through integration of external knowledge graphs (KGs). The proposed approach addresses…
PersonalAI: A Systematic Comparison of Knowledge Graph Storage and Retrieval Approaches for Personalized LLM agents
Mikhail Menschikov, Dmitry Evseev, Victoria Dochkina +5
Personalizing language models by effectively incorporating user interaction history remains a central challenge in the development of adaptive AI systems. While large language mode…
End-to-end neural network approach to 3D reservoir simulation and adaptation
E. Illarionov, P. Temirchev, D. Voloskov +5
Reservoir simulation and adaptation (also known as history matching) are typically considered as separate problems. While a set of models are aimed at the solution of the forward s…
MaxEntropy Pursuit Variational Inference
Evgenii Egorov, Kirill Neklydov, Ruslan Kostoev +1
One of the core problems in variational inference is a choice of approximate posterior distribution. It is crucial to trade-off between efficient inference with simple families as…
Deep Neural Networks Predicting Oil Movement in a Development Unit
Pavel Temirchev, Maxim Simonov, Ruslan Kostoev +6
We present a novel technique for assessing the dynamics of multiphase fluid flow in the oil reservoir. We demonstrate an efficient workflow for handling the 3D reservoir simulation…