PTNO: Training Neural Operators with Noisy Monte Carlo Estimates for Particle Transport Problems
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Towards a Belief-Based World Model for LLM Agents
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Learning from Research: Toward Lifelong Agent Harness Evolution
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Policy Iteration Is Not Strongly Polynomial for Deterministic Markov Decision Processes: The Price of Algorithmic Anarchy
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Turbo Harness: Instance-Adaptive Harness Optimization
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From Spectra to Joint Schedules in LLM Pre-training: 3+3(+2) Scaling-Law Regimes
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Life-Bench: A Benchmark and Knowledge Graph Framework for Multimodal Personalization Beyond Concept Recognition
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Role-Adaptive Policy Optimization for Offline Reinforcement Learning
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Instability Floors: Separating Bias from Noise in Fairness Audits of Clinical LLM Agents with FairMedAgent
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A Pre-trained Variational Autoencoder for Gyrokinetic Plasma Turbulence Surrogate Modeling
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STARS: From Spatiotemporal Dynamics to Social Representations in Human-Robot Interaction
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Backpropagated Output Momentum: Relocating Optimizer History from Parameters to Task Space
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