Post-Training Frontier Text-to-Image Models by Composing Preference and Rubric Rewards
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BitNest: Bit-Nested Speculative Decoding for Memory-Efficient LLM Inference Acceleration
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Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution Inheritance
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Scaling Trajectories for Complex Tasks through Recursive Self-Rewrite
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Efficient Neural Field Learning via Adaptive Coverage and Focused Sampling
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FSPO: Policy-Consistent Risk and Pareto-Feasible Control for Budgeted LLM RL Post-Training
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Validated Data Onboarding for AI Demand Forecasting on U.S. Building Meter Data: Design, Controlled Evaluation, and a Corrected Negative Result
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MLCommons Jailbreak Benchmark v1.0
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The AI Theorist reveals excitonic structure in $\alpha$-RuCl$_3$
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CRISP: A Framework for Clause-Reconstructed Interpretable NeuroSymbolic Propositions
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Geometry-Aware Time Reparameterization for Flow-Map Distillation
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Are you Synthesizing or Recalling? Evaluating LLMs on Algorithmic Code Retrieval
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