Anticipating the Consequences of Curriculum Decisions with Large Language Models
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Backward-Consistent Diffusion Sampling for Sparsely Observed PDE Inverse Problems
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Noise Out, Bias In: Targeted Bias Injection in Diffusion Language Models via Closed-Loop Activation Steering
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GFGE: Unifying Explainable AI Methods through an Interpretation Framework
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The Numerical Linear Algebra of Large Language Models
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Policy as Data: Replay-Based Policy Dual Averaging via Advantage Regression
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Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
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Plan Canvas: Fixed Reasoning Regions for Continuous Language Flows
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HLA: Expressive Hybrid Linear Attention via Chunk-Wise Dynamic Mixing
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Learning to Learn a Language
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HuatuoGPT-3: RL-Only Domain Adaptation from Base Models
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SPACE-CLIPv2: Decoding Local Geometry from Frozen CLIP for Monocular Depth Estimation
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