Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?

Large Language Models (LLMs) excel in various Natural Language Processing (NLP) tasks, yet their evaluation, particularly in languages beyond the top $20$, remains inadequate due to existing benchmarks and metrics limitations. Employing LLMs as evaluators to rank or score other models' outputs...

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Hauptverfasser:	Hada, Rishav, Gumma, Varun, de Wynter, Adrian, Diddee, Harshita, Ahmed, Mohamed, Choudhury, Monojit, Bali, Kalika, Sitaram, Sunayana
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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