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20062024
most citedStochastic LLMs do not Understand Language: Towards Symbolic, Explainable and Ontologically Based LLMs

4 citations · 13 across the 16 of their papers we have counts for

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cs.CL2024

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…

cs.CL2023★ 4 cited

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…

cs.CL2023★ 4 cited

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…

cs.CL2019

No Adjective Ordering Mystery, and No Raven Paradox, Just an Ontological Mishap

Walid S. Saba

In the concluding remarks of Ontological Promiscuity Hobbs (1985) made what we believe to be a very insightful observation: given that semantics is an attempt at specifying the rel…

cs.CL2008

Concerning Olga, the Beautiful Little Street Dancer (Adjectives as Higher-Order Polymorphic Functions)

Walid S. Saba

In this paper we suggest a typed compositional seman-tics for nominal compounds of the form [Adj Noun] that models adjectives as higher-order polymorphic functions, and where types…