18 citations · 23 across the 11 of their papers we have counts for
11 papers
Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG
Mykhailo Poliakov, Nadiya Shvai
Multi-Meta-RAG improves retrieval for multi-hop question answering by filtering a vector store on metadata, specifically the news source and the publication date, which it extracts…
When Robots Say No: The Empathic Ethical Disobedience Benchmark
Dmytro Kuzmenko, Nadiya Shvai
Robots must balance compliance with safety and social expectations as blind obedience can cause harm, while over-refusal erodes trust. Existing safe reinforcement learning (RL) ben…
MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data
Mykhailo Poliakov, Nadiya Shvai
Health-related misinformation is very prevalent and potentially harmful. It is difficult to identify, especially when claims distort or misinterpret scientific findings. We investi…
TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents
Dmytro Kuzmenko, Nadiya Shvai
We present a novel approach to knowledge transfer in model-based reinforcement learning, addressing the critical challenge of deploying large world models in resource-constrained e…
MoIRA: Modular Instruction Routing Architecture for Multi-Task Robotics
Dmytro Kuzmenko, Nadiya Shvai
Mixture-of-Experts (MoE) approaches have recently gained traction in robotics applications due to their ability to dynamically allocate computational resources and specialize sub-n…
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning
Dmytro Kuzmenko, Nadiya Shvai
We propose an efficient knowledge transfer approach for model-based reinforcement learning, addressing the challenge of deploying large world models in resource-constrained environ…
License Plate Images Generation with Diffusion Models
Mariia Shpir, Nadiya Shvai, Amir Nakib
Despite the evident practical importance of license plate recognition (LPR), corresponding research is limited by the volume of publicly available datasets due to privacy regulatio…
Balancing Performance and Efficiency in Zero-shot Robotic Navigation
Dmytro Kuzmenko, Nadiya Shvai
We present an optimization study of the Vision-Language Frontier Maps (VLFM) applied to the Object Goal Navigation task in robotics. Our work evaluates the efficiency and performan…
Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata
Mykhailo Poliakov, Nadiya Shvai
The retrieval-augmented generation (RAG) enables retrieval of relevant information from an external knowledge source and allows large language models (LLMs) to answer queries over…
Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems
Arcadi Llanza, Nadiya Shvai, Amir Nakib
This paper analyzes the performance of the Fractal Decomposition Algorithm (FDA) metaheuristic applied to low-dimensional continuous optimization problems. This algorithm was origi…
Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm
Arcadi Llanza, Nadiya Shvai, Amir Nakib
In this work, we tackle the Dynamic Optimization Problem (DOP) of IA in a real-world application using a Dynamic Optimization Algorithm (DOA) called Fractal Decomposition Algorithm…