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PERSONALIZE
Agent interaction has long been a key topic in psychology, philosophy, and artificial intelligence, and it is now gaining traction in large language model (LLM) research.
Ivar Frisch, Mario Giulianelli
semanticscholar +1 more source
Agent interaction has long been a key topic in psychology, philosophy, and artificial intelligence, and it is now gaining traction in large language model (LLM) research.
Ivar Frisch, Mario Giulianelli
semanticscholar +1 more source
Personality Alignment of Large Language Models
International Conference on Learning RepresentationsAligning large language models (LLMs) typically aim to reflect general human values and behaviors, but they often fail to capture the unique characteristics and preferences of individual users. To address this gap, we introduce the concept of Personality
Minjun Zhu, Linyi Yang, Yue Zhang
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Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features
Industrial Conference on Data Mining, 2020State-of-the-art personality prediction with text data mostly relies on bottom up, automated feature generation as part of the deep learning process. More traditional models rely on hand-crafted, theory-based text-feature categories.
Yash Mehta +5 more
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Conference on Empirical Methods in Natural Language Processing
Role-playing agents (RPA) have been a popular application area for large language models (LLMs), attracting significant interest from both industry and academia.While existing RPAs well portray the characters' knowledge and tones, they face challenges in
Yiting Ran +6 more
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Role-playing agents (RPA) have been a popular application area for large language models (LLMs), attracting significant interest from both industry and academia.While existing RPAs well portray the characters' knowledge and tones, they face challenges in
Yiting Ran +6 more
semanticscholar +1 more source
Eliciting Personality Traits in Large Language Models
arXiv.orgLarge Language Models (LLMs) are increasingly being utilized by both candidates and employers in the recruitment context. However, with this comes numerous ethical concerns, particularly related to the lack of transparency in these"black-box"models ...
Airlie Hilliard +3 more
semanticscholar +1 more source
LANGUAGE PERSONALITY VS LANGUAGE IDENTITY. AHATANHEL KRYMSKYI
Culture of the Word, 2021The article is devoted to the analysis of the criteria of national identity of the language personality. E.H. Erickson’s research model of identity is substantiated in the projection on the biography and formation of the Ukrainian-centric worldview of Ahatanhel Krymskyi: entry into Ukrainian verbal culture, formation of worldview dominants, polyphony ...
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Personality and Language Learning
ITL - International Journal of Applied Linguistics, 1997Abstract There is a clear contradiction between the predictions of psychologists and applied linguists regarding the relationship between extraversion and learning. Psychologists claim that extraversion is a disadvantage for learning on the ground that an extravert has "less cortical arousal", is more easily "inhibited" and has a ...
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Natural Language Person Retrieval
Proceedings of the AAAI Conference on Artificial Intelligence, 2017Following the recent progress in image classification and image captioning using deep learning, we developed a novel person retrieval system using natural language, which to our knowledge is first of its kind. Our system employs a state-of-the-art deep learning based natural language object retrieval framework to detect and retrieve ...
Tao Zhou, Jie Yu
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Person perception and language
2010Person perception and language are closely related, which is best reflected in everyday communication. There are numerous factors on which this relation resides. In this study, we aim at investigating whether the use of anglicisms is related to the perception of a person's characteristics.
Brdar, Irena +2 more
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