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相关论文: Personality of AI

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Aligning 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…

计算与语言 · 计算机科学 2025-03-11 Minjun Zhu , Yixuan Weng , Linyi Yang , Yue Zhang

Large Language Models (LLMs) have demonstrated human-like capabilities in language comprehension and generation, becoming active participants in social and cognitive domains. This study investigates whether LLMs exhibit personality-like…

计算与语言 · 计算机科学 2025-05-22 Wang Jiaqi , Wang bo , Guo fa , Cheng cheng , Yang li

This paper explores the advancements in making large language models (LLMs) more human-like. We focus on techniques that enhance natural language understanding, conversational coherence, and emotional intelligence in AI systems. The study…

计算与语言 · 计算机科学 2026-02-03 Ethem Yağız Çalık , Talha Rüzgar Akkuş

As large language models (LLMs) are increasingly used in human-centered tasks, assessing their psychological traits is crucial for understanding their social impact and ensuring trustworthy AI alignment. While existing reviews have covered…

The field of artificial intelligence (AI) alignment aims to investigate whether AI technologies align with human interests and values and function in a safe and ethical manner. AI alignment is particularly relevant for large language models…

人机交互 · 计算机科学 2023-01-18 Thilo Hagendorff , Sarah Fabi

The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text. As LLMs increasingly powerconversational agents used by the general…

Large language models (LLMs) are increasingly used in human-AI interaction research and practice, yet existing capability and safety benchmarks reveal little about the value priorities these systems express or how those priorities…

人工智能 · 计算机科学 2026-05-19 Gabriel Rongyang Lau , Wei Yan Low , Seow Min Koh , Fiona Fui-Hoon Nah , Andree Hartanto

Collaborative problem solving and learning are shaped by who or what is on the team. As large language models (LLMs) increasingly function as collaborators rather than tools, a key question is whether AI teammates can be aligned to express…

人机交互 · 计算机科学 2026-03-03 Mohammad Amin Samadi , Nia Nixon

Recent Large Language Model (LLM) based AI can exhibit recognizable and measurable personality traits during conversations to improve user experience. However, as human understandings of their personality traits can be affected by their…

人机交互 · 计算机科学 2026-01-21 Jingshu Li , Tianqi Song , Nattapat Boonprakong , Zicheng Zhu , Yitian Yang , Yi-Chieh Lee

Recent years have witnessed remarkable progress made in large language models (LLMs). Such advancements, while garnering significant attention, have concurrently elicited various concerns. The potential of these models is undeniably vast;…

计算与语言 · 计算机科学 2023-09-27 Tianhao Shen , Renren Jin , Yufei Huang , Chuang Liu , Weilong Dong , Zishan Guo , Xinwei Wu , Yan Liu , Deyi Xiong

The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved,…

Large language models (LLMs) are increasingly used to simulate human behavior in social settings such as legal mediation, negotiation, and dispute resolution. However, it remains unclear whether these simulations reproduce the…

人工智能 · 计算机科学 2026-02-10 Deuksin Kwon , Kaleen Shrestha , Bin Han , Spencer Lin , James Hale , Jonathan Gratch , Maja Matarić , Gale M. Lucas

Due to the remarkable capabilities and growing impact of large language models (LLMs), they have been deeply integrated into many aspects of society. Thus, ensuring their alignment with human values and intentions has emerged as a critical…

With the advancement of large language models (LLMs), the focus in Conversational AI has shifted from merely generating coherent and relevant responses to tackling more complex challenges, such as personalizing dialogue systems. In an…

计算与语言 · 计算机科学 2025-02-13 Maria Molchanova , Anna Mikhailova , Anna Korzanova , Lidiia Ostyakova , Alexandra Dolidze

Despite the many use cases for large language models (LLMs) in creating personalized chatbots, there has been limited research on evaluating the extent to which the behaviors of personalized LLMs accurately and consistently reflect specific…

计算与语言 · 计算机科学 2024-04-03 Hang Jiang , Xiajie Zhang , Xubo Cao , Cynthia Breazeal , Deb Roy , Jad Kabbara

Large Language Models (LLMs) have achieved remarkable results on a range of standardized tests originally designed to assess human cognitive and psychological traits, such as intelligence and personality. While these results are often…

机器学习 · 计算机科学 2026-05-12 Tom Sühr , Florian E. Dorner , Olawale Salaudeen , Augustin Kelava , Samira Samadi

In this work, we introduce the task of life-long personalization of large language models. While recent mainstream efforts in the LLM community mainly focus on scaling data and compute for improved capabilities of LLMs, we argue that it is…

计算与语言 · 计算机科学 2024-12-18 Tiannan Wang , Meiling Tao , Ruoyu Fang , Huilin Wang , Shuai Wang , Yuchen Eleanor Jiang , Wangchunshu Zhou

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their transition to real-world applications reveals a critical limitation: the inability to adapt to individual preferences while maintaining alignment with…

计算与语言 · 计算机科学 2025-05-06 Jian Guan , Junfei Wu , Jia-Nan Li , Chuanqi Cheng , Wei Wu

Large Language Models (LLMs) are increasingly used in everyday life and research. One of the most common use cases is conversational interactions, enabled by the language generation capabilities of LLMs. Just as between two humans, a…

计算与语言 · 计算机科学 2024-11-12 Jingyao Zheng , Xian Wang , Simo Hosio , Xiaoxian Xu , Lik-Hang Lee

Personality manipulation in large language models (LLMs) is increasingly applied in customer service and agentic scenarios, yet its mechanisms and trade-offs remain unclear. We present a systematic study of personality control using the Big…

计算与语言 · 计算机科学 2025-09-08 Gunmay Handa , Zekun Wu , Adriano Koshiyama , Philip Treleaven
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