1 citations · 1 across the 2 of their papers we have counts for
9 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 (the news source) that it extracts from each query by prompting gpt-3.5-t…
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…
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…
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…