Stochastic Rounding in Low-Precision Transformer Inference: A Variable-Precision Emulation Study of a Small GPT-2
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How Much Can Language Models Gain from Test-Time Computation?
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Detecting Inconsistencies in Model Specifications with LLM-as-Verifier Reasoning
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Where LLMs Fail with Visualization DSLs
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MoLE: Mixture of Latent Experts for Complementary Visual Reasoning
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Model validation in machine learning: A scenario-based guide from hold-out splits to nested group cross-validation in biomedical and applied research
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Latent JEPA: Abstract Future Prediction for Latent Reasoning in Chemistry
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Latent Information Sharing for Accelerating Federated Learning
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CARM: Cancellation-Aware Response Masking for LLM Reinforcement Learning
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Learning Rate Transfer for Hybrid Transformer-SSM Architectures
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CAGE-NAS: Certified Functional Descent for Efficient Model Growth
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Finetuning with Sampling: SFT Learns Better Than You Think
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