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This study presents an innovative approach to the application of large language models (LLMs) in clinical decision-making, focusing on OpenAI's ChatGPT. Our approach introduces the use of contextual prompts-strategically designed to include…

Artificial Intelligence · Computer Science 2023-08-22 Fatemeh Nazary , Yashar Deldjoo , Tommaso Di Noia

Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But do LLMs actually support user creativity? We hypothesized…

Human-Computer Interaction · Computer Science 2024-05-14 Barrett R. Anderson , Jash Hemant Shah , Max Kreminski

Digital transformation (DX) has recently become a pressing issue for many companies as the latest digital technologies, such as artificial intelligence and the Internet of Things, can be easily utilized. However, devising new business…

Other Computer Science · Computer Science 2024-06-11 Masahiro Watanabe , Naoshi Uchihira

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

Recent advancements in Natural Language Processing have opened up new possibilities for the development of large language models like ChatGPT, which can facilitate knowledge management in the design process by providing designers with…

Information Retrieval · Computer Science 2023-04-07 Xin Hu , Yu Tian , Keisuke Nagato , Masayuki Nakao , Ang Liu

Large Language Models (LLMs) have demonstrated promise in medical knowledge assessments, yet their practical utility in real-world clinical decision-making remains underexplored. In this study, we evaluated the performance of three…

Computation and Language · Computer Science 2025-12-30 Mengdi Chai , Ali R. Zomorrodi

Large Language Models (LLMs) have demonstrated remarkable success in various natural language processing and software engineering tasks, such as code generation. The LLMs are mainly utilized in the prompt-based zero/few-shot paradigm to…

Software Engineering · Computer Science 2024-01-31 Mohamad Khajezade , Jie JW Wu , Fatemeh Hendijani Fard , Gema Rodríguez-Pérez , Mohamed Sami Shehata

Large Language Models (LLMs) offer new avenues to simulate online communities and social media. Potential applications range from testing the design of content recommendation algorithms to estimating the effects of content policies and…

Computation and Language · Computer Science 2026-04-02 Azza Bouleimen , Giordano De Marzo , Taehee Kim , Nicol`o Pagan , Hannah Metzler , Silvia Giordano , Anikó Hannák , David Garcia

Large Language Models (LLMs), such as ChatGPT, have recently been applied to various NLP tasks due to its open-domain generation capabilities. However, there are two issues with applying LLMs to dialogue tasks. 1. During the dialogue…

Computation and Language · Computer Science 2023-10-06 Siwei Wu , Xiangqing Shen , Rui Xia

The emergence of generative large language models (LLMs) raises the question: what will be its impact on crowdsourcing? Traditionally, crowdsourcing has been used for acquiring solutions to a wide variety of human-intelligence tasks,…

Computation and Language · Computer Science 2023-10-23 Jan Cegin , Jakub Simko , Peter Brusilovsky

In the era of generative AI and specifically large language models (LLMs), exemplified by ChatGPT, the intersection of artificial intelligence and human reasoning has become a focal point of global attention. Unlike conventional search…

Computers and Society · Computer Science 2023-11-13 Niina Zuber , Jan Gogoll

Existing text scoring methods require a large corpus, struggle with short texts, or require hand-labeled data. We develop a text scoring framework that leverages generative large language models (LLMs) to (1) set texts against the backdrop…

Computation and Language · Computer Science 2025-06-05 Patrick Y. Wu , Jonathan Nagler , Joshua A. Tucker , Solomon Messing

Large Language Models (LLMs) are reshaping consumer decision-making, particularly in communication with firms, yet our understanding of their impact remains limited. This research explores the effect of LLMs on consumer complaints submitted…

Human-Computer Interaction · Computer Science 2025-02-17 Minkyu Shin , Jin Kim , Jiwoong Shin

Concept generation is a creative step in the conceptual design phase, where designers often turn to brainstorming, mindmapping, or crowdsourcing design ideas to complement their own knowledge of the domain. Recent advances in natural…

Computation and Language · Computer Science 2023-06-06 Kevin Ma , Daniele Grandi , Christopher McComb , Kosa Goucher-Lambert

Large language models (LLMs) have recently demonstrated their potential in clinical applications, providing valuable medical knowledge and advice. For example, a large dialog LLM like ChatGPT has successfully passed part of the US medical…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Sheng Wang , Zihao Zhao , Xi Ouyang , Qian Wang , Dinggang Shen

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

The proliferation of Large Language Models (LLMs), such as ChatGPT, has raised concerns about their potential impact on academic integrity, prompting the need for LLM-resistant exam designs. This article investigates the performance of LLMs…

Computation and Language · Computer Science 2023-04-25 Simon kaare Larsen

The launch of ChatGPT by OpenAI in November 2022 marked a pivotal moment for Artificial Intelligence, introducing Large Language Models (LLMs) to the mainstream and setting new records in user adoption. LLMs, particularly ChatGPT, trained…

Computation and Language · Computer Science 2024-03-18 Christian A. Schiller

Recent efforts have evaluated large language models (LLMs) in areas such as commonsense reasoning, mathematical reasoning, and code generation. However, to the best of our knowledge, no work has specifically investigated the performance of…

Computation and Language · Computer Science 2024-05-17 Xuanfan Ni , Piji Li

We introduce Directional Stimulus Prompting, a novel framework for guiding black-box large language models (LLMs) toward specific desired outputs. Instead of directly adjusting LLMs, our method employs a small tunable policy model (e.g.,…

Computation and Language · Computer Science 2023-10-11 Zekun Li , Baolin Peng , Pengcheng He , Michel Galley , Jianfeng Gao , Xifeng Yan