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cs.CL2025
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study
Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio +1
Recent advances in natural language processing highlight two key factors for improving reasoning in large language models (LLMs): (i) allocating more test-time compute tends to hel…
cond-mat.dis-nn2025
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
Elizaveta Demyanenko, Davide Straziota, Carlo Baldassi +1
We consider random instances of non-convex perceptron problems in the high-dimensional limit of a large number of examples and weights , with finite load . We develo…