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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Prediction, explanation, and the role of generative models in language processing
Thomas A Farmer1, Meredith Brown, Michael K Tanenhaus
1Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627-0268, USA. tfarmer@bcs.rochester.edu
Abstract:
We propose, following Clark, that generative models also play a central role in the perception and interpretation of linguistic signals. The data explanation approach provides a rationale for the role of prediction in language processing and unifies a number of phenomena, including multiple-cue integration, adaptation effects, and cortical responses to violations of linguistic expectations.
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