Papers by Elisa Sanchez-Bayona

2 papers
Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding (2025.findings-acl)

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Challenge: Existing studies on metaphor processing have focused on single datasets and specific task settings, often using artificially constructed data through lexical replacement.
Approach: They propose to evaluate the capabilities of Large Language Models (LLMs) in metaphor interpretation across multiple datasets, tasks, and prompt configurations.
Outcome: The proposed frameworks are more realistic and efficient than current models and are more efficient than existing models.
The Interplay between Metaphors and NLP (2026.acl-tutorials)

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Challenge: This tutorial will provide an overview of the metaphor processing field.
Approach: This tutorial will provide an overview of the metaphor processing field . it will focus on recent directions opened by LLMs for metaphor interpretation .
Outcome: The tutorial will discuss the influence of various metaphor theories on the creation of annotated resources and models.

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