SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Instruction-tuned Large Language Models (LLMs) have recently showcased remarkable advancements in their ability to generate fitting responses to natural language instructions. However, many current works rely on manual evaluation to judge the quality of generated responses. Since such manual evaluat...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Aynetdinov, Ansar, Akbik, Alan
Format:	Artikel
Sprache:	eng
Schlagworte:	Large language models Natural language processing Semantics Similarity
Online-Zugang:	Volltext
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