Détail du document
Identifiant
oai:arXiv.org:2403.09720
Sujet
Computer Science - Computation and... Computer Science - Artificial Inte...Auteur
Sun, PingweiCatégorie
Computer Science
Année
2024
Date de référencement
20/03/2024
Mots clés
modelsRésumé
Accurately handling the underlying support values in sentences is crucial for understanding the speaker's tendencies, yet it poses a challenging task in natural language understanding (NLU).
In this article, we explore the potential of fine-tuning and prompt tuning in this downstream task, using the Human Value Detection 2023.
Additionally, we attempt to validate whether models can effectively solve the problem based on the knowledge acquired during the pre-training stage.
Simultaneously, our interest lies in the capabilities of large language models (LLMs) aligned with RLHF in this task, and some preliminary attempts are presented.
Sun, Pingwei, 2024, Fine-tuning vs Prompting, Can Language Models Understand Human Values?
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