Universal Multi-Modal Traceformer: Integrating Heterogeneous Context for Process Event Prediction
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$t_0$: A Time-Series Foundation Model for Forecasting with Context
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A Temporal Knowledge Graph for Music Festival Lineup Forecasting
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GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation
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Optimizers for Diffusion Models: A Controlled Benchmark
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Neural Spectral Capacity: Measuring and Designing Architectures from Network Specification Alone
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RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
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BabelArena: A Large-Scale Multilingual Benchmark for LLM Agents
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Knowing When to Trust Images: Reliability-Aware Multi-modal Entity Alignment
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The Role of Coordinates in Pareto Regret for Adversarial Multi-Objective Bandits
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Machine-Interpretable Information: Compiling Documents into Searchable and Readable Protocol States
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When Does Adversarial Refinement Help? A Negative Result and Open Problem in Adapting R3GAN to Time Series Imputation
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