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Inference for PROs
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Welcome to Inference Providers on the Hub 🔥
arXiv AI
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Probabilistic Circuits as Reasoning Machines in Artificial Intelligence (Part I)
arXiv:2608. 16565v1 Announce Type: new Abstract: This cumulative habilitation thesis studies probabilistic circuits (PCs) as a powerful and tractable framework for reasoning and learning under uncertainty in artificial intelligence (AI).
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Sep 10
A Unifying Perspective on Probabilities as Model Predictions
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Categories of Inference-Time Scaling for Improved LLM Reasoning
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When benchmark inferences do not compose: Projectibility in AI evaluation
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How reliable are LLMs when it comes to playing dice?
arXiv:2606. 07515v1 Announce Type: cross Abstract: We investigate the probabilistic reasoning capabilities of large language models through a controlled benchmarking study on discrete probability problems.