A.S.E 2.0: Understanding How Repository Context Impacts the Security of LLM-Generated Code
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Today's Work, Tomorrow's Workforce: Incentivizing Learning in AI-Assisted Work
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BudgetSplat: Budget-Controllable Generalizable Gaussian Splatting
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Ab Initio Accuracy Beyond the Cutoff: Distributed Message-Passing Equivariant Attention at Tens-of-Millions-of-Atom Scale
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The Split Protocol Decides the Result: Re-Evaluating Encrypted Traffic Classification
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Learning to Tune with Biased Gradients: Iterative Feedback Tuning of Model-Free Control on Throttle Valves
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Rubric Curriculum RL: Exploiting the Generation-Verification Gap in Non-Verifiable Domains
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When Does Risk-Controlled Throughput Forecasting Actually Control Risk? A Reproduction Study on LEO Satellite Link
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From hydrological laws to catchment models: A process-based model matches deep-learning accuracy on three continents
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Token Time Continuous Diffusion for Language Modeling
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From Representations to Behaviors: Exploring the Person-Situation-Behavior Triad in LLMs
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AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling
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