1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…
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…