activity
20232026
most citedHopfield Networks for Asset Allocation

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

SokoBench: Evaluating Long-Horizon Planning and Reasoning in Large Language Models

Sebastiano Monti, Carlo Nicolini, Gianni Pellegrini +2

Although the capabilities of large language models have been increasingly tested on complex reasoning tasks, their long-horizon planning abilities have not yet been extensively inv…

cs.CL2025

Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures

Marco Bronzini, Carlo Nicolini, Bruno Lepri +2

Despite their capabilities, Large Language Models (LLMs) remain opaque with limited understanding of their internal representations. Current interpretability methods either focus o…

cs.LG2024★ 3 cited

Hopfield Networks for Asset Allocation

Carlo Nicolini, Monisha Gopalan, Jacopo Staiano +1

We present the first application of modern Hopfield networks to the problem of portfolio optimization. We performed an extensive study based on combinatorial purged cross-validatio…

cs.CL2024

Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph

Marco Bronzini, Carlo Nicolini, Bruno Lepri +2

Large Language Models (LLMs) demonstrate an impressive capacity to recall a vast range of factual knowledge. However, understanding their underlying reasoning and internal mechanis…

cs.CL2024

The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models

Carlo Nicolini, Jacopo Staiano, Bruno Lepri +1

A substantial gap persists in understanding the reasons behind the exceptional performance of the Transformer architecture in NLP. A particularly unexplored area involves the mecha…

cs.CL2023★ 2 cited

Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models

Marco Bronzini, Carlo Nicolini, Bruno Lepri +2

Over the last decade, several regulatory bodies have started requiring the disclosure of non-financial information from publicly listed companies, in light of the investors' increa…