Author

Tina Eliassi-Rad

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#machine learning Preprint Sep 2026

Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models

Evaluating the capability and efficiency of LLMs from the DeepSeek-R1-Distill model family across four classes of arithmetic and algorithmic reasoning problems reveals potential limitations of naive scaling as a strategy for developing more capable AI systems.

Moritz Laber, Zohair Shafi, Germans Savcisens et al. · 0 citations

Jul 2026

Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models

It is shown that simple persistence-based opinion-dynamics models reproduce collective outcomes in all-generalist LLM populations, whereas heterogeneous LLM populations require population-level belief composition to reproduce consensus and agent identity to predict individual belief transitions.

Germans Savcisens, Samantha Dies, Courtney Maynard et al. · arXiv.org · 1 citation