AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Spectral co-clustering is a useful tool for discovering latent structure in word-document matrices, but its reliance on singular value decomposition (SVD) can make standard formulations expensive on high-dimensional data. This paper presents two randomized approximations for normalized spectral co-clustering of biparti...
TREAT is introduced, a benchmark for evaluating whether large language models can recover known theorem identities from equivalence-preserving formula-level transformations, and provides a controlled testbed for evaluating representation-robust access to formal knowledge.
Evaluating state-of-the-art open LLMs reveals a significant robustness gap, and shows that reliable process-level verification remains challenging, and evaluator robustness should be measured separately from solver accuracy, even in a simple algebraic domain with exact ground truth.
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