Grounding Large Language Models in DSGE Simulators for Policy Generation and Forecasting
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ReSolve: Reusing Candidate Reasoning through Selective Generative Moderation
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Beyond Leaderboards: Tokenomics of Agentic Small Language Model Ensembles
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Empty Commitments: When Agents Promise What Their Runtime Cannot Deliver
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From Discovery to Decision: Finite-Budget Recoverability in LLM Voting
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Improving Math Reasoning through Value-guided Informative Search
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AbsorbEvo: An Agentic Framework for Autonomous Inverse Design of Microwave Absorbers
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CortexBridge: Cortical Alignment of EEG Montages for Foundation Models
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NEUROTOKEN: Joint Source and Directional AAD with Envelope Decoding via Conditional Flow Matching
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WIPSNet: Deep Learning for Paediatric Wheeze Detection from Overnight Impedance Pneumography
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Metacognitive Reasoning in Energy Based Models using Instance Based Learning Theory
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Representation Transitions Reveal Emerging Safety Risks in Multi-Turn LLM Agents
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