5 papers
Reinforcement Learning for Computer-Use Agents with Autonomous Evaluation
Marta Sumyk, Oleksandr Kosovan
Computer-Use Agents (CUAs) execute high-level user goals by perceiving and acting directly within graphical user interfaces. However, reinforcement learning for CUAs remains diffic…
Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization
Mariia Onyshchuk, Maksym-Vasyl Tarnavskyi, Marta Sumyk
Optimal transport (OT) has been shown to detect hallucinations in neural machine translation (NMT) by measuring the geometric distance between cross-attention distributions and a r…
Toward Agentic RAG for Ukrainian
Marta Sumyk, Oleksandr Kosovan
We present an initial investigation into Agentic Retrieval-Augmented Generation (RAG) for Ukrainian, conducted within the UNLP 2026 Shared Task on Multi-Domain Document Understandi…
CUAAudit: Meta-Evaluation of Vision-Language Models as Auditors of Autonomous Computer-Use Agents
Marta Sumyk, Oleksandr Kosovan
Computer-Use Agents (CUAs) are emerging as a new paradigm in human-computer interaction, enabling autonomous execution of tasks in desktop environment by perceiving high-level natu…
"Are We Done Yet?": A Vision-Based Judge for Autonomous Task Completion of Computer Use Agents
Marta Sumyk, Oleksandr Kosovan
Computer Use Agents (CUAs) are designed to autonomously operate digital interfaces, yet they often fail to reliably determine whether a given task has been completed. We present an…