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20232026
most citedEmergence of a High-Dimensional Abstraction Phase in Language Transformers

1 citations · 1 across the 11 of their papers we have counts for

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cs.CL2024

Principles of semantic and functional efficiency in grammatical patterning

Emily Cheng, Francesca Franzon

Grammatical features such as number and gender serve two central functions in human languages. While they encode salient semantic attributes like numerosity and animacy, they also…

cs.CL2024

Geometric Signatures of Compositionality Across a Language Model's Lifetime

Jin Hwa Lee, Thomas Jiralerspong, Lei Yu +2

By virtue of linguistic compositionality, few syntactic rules and a finite lexicon can generate an unbounded number of sentences. That is, language, though seemingly high-dimension…

cs.CL2024

Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models

Emily Cheng, Richard J. Antonello

Research has repeatedly demonstrated that intermediate hidden states extracted from large language models are able to predict measured brain response to natural language stimuli. Y…

cs.CL2024★ 1 cited

Emergence of a High-Dimensional Abstraction Phase in Language Transformers

Emily Cheng, Diego Doimo, Corentin Kervadec +4

A language model (LM) is a mapping from a linguistic context to an output token. However, much remains to be known about this mapping, including how its geometric properties relate…

cs.CL2024

LiSeCo: Linear Semantic Control for Language Generation

Emily Cheng, Carmen Amo Alonso

The prevalence of Large Language Models (LLMs) in critical applications highlights the need for controlled language generation methods that are both computationally efficient and e…