3 citations · 3 across the 6 of their papers we have counts for
7 papers
DiffResearch: Accelerating Deep Research with Diffusion Language Models
Alan-Barsag Gazzaev, Alexey Gavrilov, Mikhail Mozikov +1
Deep research systems iteratively plan, gather evidence, synthesize, and revise, making end-to-end latency a key bottleneck for interactive use. Almost all production systems are b…
EmoMed: An Emotionally-Aware Agent for Multimodal Medical Support with Real-Time Information Retrieval
Ivan Nasonov, Nikita Glazkov, Ivan Makovetskiy +4
We present EmoMed - a multimodal medical consultation agent that adapts its responses based on users' emotional states while maintaining clinical accuracy. The system processes tex…
PA-CoT: Profile-Adaptive Chain-of-Thought for Personalized Nutritional Consulting
Evgenii Garmashov, Nikita Kulin, Artur Khairullin +5
In health and nutrition consulting, widely used prompting methods pass the user profile as an unstructured block without a dedicated analysis step, leaving personalization as a cri…
ATGen: A Framework for Active Text Generation
Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun +12
Active learning (AL) has demonstrated remarkable potential in reducing the annotation effort required for training machine learning models. However, despite the surging popularity…
The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games
Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu +4
Behavior study experiments are an important part of society modeling and understanding human interactions. In practice, many behavioral experiments encounter challenges related to…
Accessing Convective Hazards Frequency Shift with Climate Change using Physics-Informed Machine Learning
Mikhail Mozikov, Ilya Makarov, Alexandr Bulkin +3
In this paper we discuss and address the challenges of predicting extreme atmospheric events like intense rainfall, hail, and strong winds. These events can cause significant damag…
Long-term hail risk assessment with deep neural networks
Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov +1
Hail risk assessment is necessary to estimate and reduce damage to crops, orchards, and infrastructure. Also, it helps to estimate and reduce consequent losses for businesses and,…