4 citations · 13 across the 16 of their papers we have counts for
16 papers
LLMs' Understanding of Natural Language Revealed
Walid S. Saba
Large language models (LLMs) are the result of a massive experiment in bottom-up, data-driven reverse engineering of language at scale. Despite their utility in a number of downstr…
Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Models
Walid S. Saba
We argue that the relative success of large language models (LLMs) is not a reflection on the symbolic vs. subsymbolic debate but a reflection on employing a successful bottom-up s…
Stochastic LLMs do not Understand Language: Towards Symbolic, Explainable and Ontologically Based LLMs
Walid S. Saba
In our opinion the exuberance surrounding the relative success of data-driven large language models (LLMs) is slightly misguided and for several reasons (i) LLMs cannot be relied u…
Symbolic and Language Agnostic Large Language Models
Walid S. Saba
We argue that the relative success of large language models (LLMs) is not a reflection on the symbolic vs. subsymbolic debate but a reflection on employing an appropriate strategy…
Towards Explainable and Language-Agnostic LLMs: Symbolic Reverse Engineering of Language at Scale
Walid S. Saba
Large language models (LLMs) have achieved a milestone that undenia-bly changed many held beliefs in artificial intelligence (AI). However, there remains many limitations of these…
Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs
Walid S. Saba
Knowledge graphs (KGs) have become the standard technology for the representation of factual information in applications such as recommendation engines, search, and question-answer…