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U-DepPLLaMA: Universal Dependency Parsing via Auto-regressive Large Language Models

This paper investigates the rapidly advancing domain of Large Language Models (LLMs) and their growing potential in various fields. A central focus is the exploration of LLMs, e.g., LLaMA, as powerful tools for modeling and representing linguistic information, especially in the realm of syntax. We a...

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Principais autores: Claudiu Daniel Hromei, Danilo Croce, Roberto Basili
Format: Artigo
Jezik:Inglês
Izdano: Accademia University Press 2024-07-01
Serija:IJCoL
Online dostop:https://journals.openedition.org/ijcol/1352
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