2 citations · 2 across the 2 of their papers we have counts for
6 papers · 1 filter
Sparse Auto-Encoders and Holism about Large Language Models
Jumbly Grindrod
Does Large Language Model (LLM) technology suggest a meta-semantic picture i.e. a picture of how words and complex expressions come to have the meaning that they do? One modest app…
Modelling Language using Large Language Models
Jumbly Grindrod
This paper argues that large language models have a valuable scientific role to play in serving as scientific models of public languages. Linguistic study should not only be concer…
Word Meanings in Transformer Language Models
Jumbly Grindrod, Peter Grindrod
We investigate how word meanings are represented in the transformer language models. Specifically, we focus on whether transformer models employ something analogous to a lexical st…
Distributional Semantics, Holism, and the Instability of Meaning
Jumbly Grindrod, J. D. Porter, Nat Hansen
Large Language Models are built on the so-called distributional semantic approach to linguistic meaning that has the distributional hypothesis at its core. The distributional hypot…
Transformers, Contextualism, and Polysemy
Jumbly Grindrod
The transformer architecture, introduced by Vaswani et al. (2017), is at the heart of the remarkable recent progress in the development of language models, including widely-used ch…
Large language models and linguistic intentionality
Jumbly Grindrod
Do large language models like Chat-GPT or LLaMa meaningfully use the words they produce? Or are they merely clever prediction machines, simulating language use by producing statist…