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Using large language models to estimate features of multi-word expressions: Concreteness, valence, arousal
In Study 1, ChatGPT-4o showed strong correlations with human concreteness ratings (r = . 8) for multi-word expressions.
Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models
Vocabulary tests, once a cornerstone of language modeling evaluation, have been largely overlooked in the current landscape of Large Language Models (LLMs) like Llama, Mistral, and GPT.
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