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PLATO: Pointer Learner for Agent and Task Openness
Alireza Saleh Abadi, Leen-Kiat Soh, Daniel Alan Redder +2
Open agent systems (OASYS) are increasingly prevalent in real-world domains where the sets of agents and tasks change unpredictably over time. Such openness, including agent openne…
Second MOASEI Competition at AAMAS'2026: A Technical Report
Ceferino Patino, Tyler J. Billings, Alireza Saleh Abadi +4
We describe the 2026 Methods for Open Agent Systems Evaluation Initiative (MOASEI) Competition, a benchmark event for evaluating multi-agent decision-making under open-system condi…
EVENT5Ws: A Large Dataset for Open-Domain Event Extraction from Documents
Praval Sharma, Ashok Samal, Leen-Kiat Soh +1
Event extraction identifies the central aspects of events from text. It supports event understanding and analysis, which is crucial for tasks such as informed decision-making in em…