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Exploring Textual Semantics in Large Language Models

2026-04-28

Abstract excerpt

<title>Abstract</title> <p>In this work, we investigate whether Large Language Models (LLM) capture aspects of textual semantics, potentially as a consequence of their training on massive text corpora. While LLM are known to encode rich distributional representations, it remains unclear whether they reproduce higher-level semantic organisation across extended discourse. To address this question, we draw on the co...

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Literature Corpus work
e7591601-15b7-5aa6-9748-93578d600868
DOI
10.21203/rs.3.rs-9077406/v1
Open publication

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Exploring Textual Semantics in Large Language ModelsDOI 10.21203/rs.3.rs-9077406/v1
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