ReMaD: Tuning-free Domain Adaptation for Classification and Out-of-Distribution Detection
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Distilling Token-Trained Models into Byte-Level Models
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Who Keeps the Gains from Personal AI Assistants? Seller Adaptation and the Unassisted in a Language-Model Market Simulation
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CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
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Response-Based Knowledge Distillation for Multilingual Jailbreak Prevention Unwittingly Compromises Safety
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LLMs Exhibit Significantly Lower Uncertainty in Creative Writing Than Professional Writers
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When Does a Diffusion Model Decide What to Draw ?
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Training and Scaling Compute-Optimal Physiological Waveform Foundation Models
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Graph Data Augmentation via Contrastive Generator Inversion ($\texttt{DCBA}$)
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Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health
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From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model
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EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
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