Author

Pietro Liò

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#artificial intelligence Preprint Sep 2026

Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning

This work introduces answer-distribution trajectories, a stochastic-dynamics-inspired representation that tracks the model's full predictive distribution over answers as reasoning unfolds, and suggests that answer-distribution trajectories provide a rich framework for analysing and evaluating the dynamics of LLM reason...

M. Catala, Haitz Sáez de Ocáriz Borde, D. Murari et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Looped Language Models Improve Compositional Tool Calling

This work evaluates native and retrofitted looped language models on API-Bank, BFCL, and NESTful, comparing looped and non-looped models trained under matched supervised fine-tuning recipes and varying recurrent depth at inference time to suggest that looped language models are a promising architecture for agentic syst...

A. C. Popescu, Haitz Sáez de Ocáriz Borde, Pietro Liò · 2 citations