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Robust partially observable Markov decision processes model agents that act under partial observability while adversarial environment resolves uncertainty in the transition probabilities. Reward objectives such as discou...
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Recent time series foundation models (TSFMs) can consume covariates in-context, extending zero-shot forecasting to problems driven by external factors. This enables scenario analysis: forecasting how a target responds to...
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A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and whether preference optimization can improve beyond...
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Jailbreak methods are commonly compared using Attack Success Rate (ASR), but these comparisons depend on how responses are generated and judged. In this paper, we examine eight attacks against three open-weight language ...
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Living plants, like animals, use electrical signals to carry information about their physiological state across their body, from roots to branches. These signals can be recorded, as they are in animals, from a pair of di...
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Hardware components communicate through clock-cycle-sensitive protocols. Hardware Description Languages (HDLs), however, provide limited support for expressing these protocols or for checking that independently developed...
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Electrostatic gates on two-dimensional electron gases (2DEGs) in GaAs/AlGaAs heterostructures are essential for numerous studies of correlation driven phenomena, many performed within the fractional quantum Hall effect. ...
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Piezoelectric nanogenerators (PENGs) are an attractive platform for self-powered mechanical-energy harvesting, but their output is often limited by depolarization fields, charge leakage, and inefficient stress transfer t...
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Neural networks that respect the symmetries of point clouds commonly compute high-order representations of the rotation group to improve their expressivity. Such models are known to be universal, and thus able to separat...
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We present multilayer social network data from 50 communities, located in 29 countries around the world, gathered as part of the "ENDOW" project. The communities show exceptional diversity, from fishers in Bangladesh and...
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This book explores the politics of multilateralism in the context of three United Nations (UN) pillars: human rights, peace and security, and development. Focussing on the debates, ideas, and practices of international c...
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The past two years have seen considerable interest in protocols for managing how AI agents interact with human users, external tools, and each other. In many ways, these protocols, including the Model Context Protocol (M...
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We present the tool VoxLogicA2, a spatial model checker aimed at Computer Vision, with applications in high-resolution 2D and 3D medical imaging. The new version of the tool combines logical primitives, non-logical primi...
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Long-horizon tasks are important for modern AI and robotics, yet pose a challenge for reinforcement learning. Historically, a popular approach has been to decompose a task into subgoals, and learn a subgoal-conditioned p...
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As people increasingly rely on large language models (LLMs) for information, model providers need to communicate meaningful estimates of whether individual responses are correct or, more generally, reliable. In the conte...