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Pythia: Toward Predictability-Driven Agent-Native LLM Serving
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Volitional Multiagent Atomic Transactions: Describing People and their Machines
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Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution
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A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
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Where Did It Go Wrong? Capability-Oriented Failure Attribution for Vision-and-Language Navigation Agents
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RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
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Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
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Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization
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Skills as Verifiable Artifacts: A Trust Schema and a Biconditional Correctness Criterion for Human-in-the-Loop Agent Runtimes
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Foresight Arena: An On-Chain Benchmark for Evaluating AI Forecasting Agents
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High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking
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Causal Foundations of Collective Agency
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The $textit{Silicon Society}$ Cookbook: Design Space of LLM-based Social Simulations
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Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
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When Stress Becomes Signal: Detecting Antifragility-Compatible Regimes in Multi-Agent LLM Systems
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FitText: Evolving Agent Tool Ecologies via Memetic Retrieval
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LLM-enabled Social Agents
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SOTOPIA-TOM: Evaluating Information Management in Multi-Agent Interaction with Theory of Mind
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Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
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Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
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