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OmegaUse-OfficeVal is introduced, a benchmark for evaluating LLM agents on long-horizon office-suite tasks with task-level economic grounding, and code-based verifiers from fine-grained rubrics are developed to support stable evaluation.
TS-RAG is proposed, which leverages RAG to enhance forecasting performance and introduces specially designed reference tokens to effectively fuse information from the input sequence with that from retrieved similar sequences, enabling a more robust capture of complex temporal dynamics.
OmegaUse-SOP is introduced, a human-in-the-loop SOP Engineering system for transforming human demonstrations of professional computer use into reusable SOP skills for GUI agents, and the results suggest that OmegaUse-SOP can improve GUI-agent reliability on professional SOP tasks.
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