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Updated: Jul 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Beyond the limitations of any imaginable mechanism: Large language models and psycholinguistics
Conor Houghton1, Nina Kazanina2,3, Priyanka Sukumaran1,2
1Department of Computer Science, University of Bristol, Bristol, UK conor.houghton@bristol.ac.uk p.sukumaran@bristol.ac.uk conorhoughton.github.io.
Abstract:
Large language models (LLMs) are not detailed models of human linguistic processing. They are, however, extremely successful at their primary task: Providing a model for language. For this reason LLMs are important in psycholinguistics: They are useful as a practical tool, as an illustrative comparative, and philosophically, as a basis for recasting the relationship between language and thought.
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