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The recent proliferation of research into transformer based natural language processing has led to a number of studies which attempt to detect the presence of human-like cognitive behavior in the models. We contend that, as is true of human…

计算与语言 · 计算机科学 2024-04-01 Jesse Roberts , Kyle Moore , Drew Wilenzick , Doug Fisher

The emergent capabilities of large language models (LLMs) have prompted interest in using them as surrogates for human subjects in opinion surveys. However, prior evaluations of LLM-based opinion simulation have relied heavily on costly,…

计算机与社会 · 计算机科学 2025-11-17 Terrence Neumann , Maria De-Arteaga , Sina Fazelpour

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

Background: Large Language Models (LLMs) are transforming artificial intelligence applications in healthcare due to their ability to understand, generate, and summarize complex medical text. They offer valuable support to clinicians,…

计算与语言 · 计算机科学 2026-04-14 Subin Santhosh , Farwa Abbas , Hussain Ahmad , Claudia Szabo

Large Language Models (LLMs) have increasingly been utilized in social simulations, where they are often guided by carefully crafted instructions to stably exhibit human-like behaviors during simulations. Nevertheless, we doubt the…

人工智能 · 计算机科学 2024-10-29 Zengqing Wu , Run Peng , Shuyuan Zheng , Qianying Liu , Xu Han , Brian Inhyuk Kwon , Makoto Onizuka , Shaojie Tang , Chuan Xiao

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

The emergence of Large Language Models (LLMs) has brought both excitement and concerns to social computing research. On the one hand, LLMs offer unprecedented capabilities in analyzing vast amounts of textual data and generating human-like…

人机交互 · 计算机科学 2023-07-11 Hong Shen , Tianshi Li , Toby Jia-Jun Li , Joon Sung Park , Diyi Yang

Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an econometric framework for realizing this…

计量经济学 · 经济学 2025-12-08 Jens Ludwig , Sendhil Mullainathan , Ashesh Rambachan

Generative large language models (LLMs) are incredibly useful, versatile, and promising tools. However, they will be of most use to political and social science researchers when they are used in a way that advances understanding about real…

计算机与社会 · 计算机科学 2025-04-08 Lisa P. Argyle , Ethan C. Busby , Joshua R. Gubler , Bryce Hepner , Alex Lyman , David Wingate

Large language models (LLMs) make it possible to generate synthetic behavioural data at scale, offering an ethical and low-cost alternative to human experiments. Whether such data can faithfully capture psychological differences driven by…

计算与语言 · 计算机科学 2025-11-27 Manuel Pratelli , Marinella Petrocchi

Human decision-making belongs to the foundation of our society and civilization, but we are on the verge of a future where much of it will be delegated to artificial intelligence. The arrival of Large Language Models (LLMs) has transformed…

人工智能 · 计算机科学 2025-06-23 Hao Li , Gengrui Zhang , Petter Holme , Shuyue Hu , Zhen Wang

Large Language Models (LLMs) have seen widespread deployment in various real-world applications. Understanding these biases is crucial to comprehend the potential downstream consequences when using LLMs to make decisions, particularly for…

计算与语言 · 计算机科学 2024-01-10 Abel Salinas , Parth Vipul Shah , Yuzhong Huang , Robert McCormack , Fred Morstatter

As Large Language Models (LLMs) increasingly appear in social science research (e.g., economics and marketing), it becomes crucial to assess how well these models replicate human behavior. In this work, using hypothesis testing, we present…

计算机与社会 · 计算机科学 2025-06-19 Harbin Hong , Sebastian Caldas , Liu Leqi

As mental health issues continue to rise globally, there is an increasing demand for accessible and scalable therapeutic solutions. Many individuals currently seek support from Large Language Models (LLMs), even though these models have not…

计算与语言 · 计算机科学 2026-03-05 Navdeep Singh Bedi , Ana-Maria Bucur , Noriko Kando , Fabio Crestani

Questionnaire-based surveys are foundational to social science research and public policymaking, yet traditional survey methods remain costly, time-consuming, and often limited in scale. Although prior work has explored large language…

In this article, we explore the transformative potential of integrating generative AI, particularly Large Language Models (LLMs), into behavioral and experimental economics to enhance internal validity. By leveraging AI tools, researchers…

人机交互 · 计算机科学 2024-07-18 Brian Jabarian

Large language models (LLM) are advanced AI systems trained on extensive textual data, leveraging deep learning techniques to understand and generate human-like language. Today's LLMs with billions of parameters are so huge that hardly any…

分布式、并行与集群计算 · 计算机科学 2025-10-14 Sheikh Azizul Hakim , Saem Hasan

The widespread adoption of Large Language Models (LLMs) and publicly available ChatGPT have marked a significant turning point in the integration of Artificial Intelligence (AI) into people's everyday lives. This study examines the ability…

计算与语言 · 计算机科学 2025-10-28 Sandeep Kumar , Tirthankar Ghosal , Vinayak Goyal , Asif Ekbal

Human models play a crucial role in human-robot interaction (HRI), enabling robots to consider the impact of their actions on people and plan their behavior accordingly. However, crafting good human models is challenging; capturing…

机器人学 · 计算机科学 2024-10-03 Bowen Zhang , Harold Soh

The emergence of Large Language Models (LLMs) has great potential to reshape the landscape of many social media platforms. While this can bring promising opportunities, it also raises many threats, such as biases and privacy concerns, and…

人机交互 · 计算机科学 2024-02-14 Kristina Radivojevic , Nicholas Clark , Paul Brenner