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researcher

Gabriele Venturato

KU Leuven

3 papers hereh-index 567 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI3
affiliations
  • KU Leuven
HomepageORCID 0000-0002-0048-0898

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.AI2025

Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition

Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires +1

Large Language Models (LLMs) have been touted as AI models possessing advanced reasoning abilities. In theory, autoregressive LLMs with Chain-of-Thought (CoT) can perform more seri…

cs.AI2024

Relational Neurosymbolic Markov Models

Lennert De Smet, Gabriele Venturato, Luc De Raedt +1

Sequential problems are ubiquitous in AI, such as in reinforcement learning or natural language processing. State-of-the-art deep sequential models, like transformers, excel in the…

cs.AI2024

Can Large Language Models Reason? A Characterization via 3-SAT

Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires +1

Large Language Models (LLMs) have been touted as AI models possessing advanced reasoning abilities. However, recent works have shown that LLMs often bypass true reasoning using sho…

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