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Related papers: Automatic Item Generation for Personality Situatio…

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This study explores automatic generation (AIG) using language models to create multiple choice questions (MCQs) for morphological assessment, aiming to reduce the cost and inconsistency of manual test development. The study used a two-fold…

Computation and Language · Computer Science 2025-08-29 Mohammad Amini , Babak Ahmadi , Xiaomeng Xiong , Yilin Zhang , Christopher Qiao

This Monte Carlo simulation examines how prompt engineering strategies shape the quality of large language model (LLM)--generated personality assessment items within the AI-GENIE framework for generative psychometrics. Item pools targeting…

Artificial Intelligence · Computer Science 2026-03-18 Lara Lee Russell-Lasalandra , Hudson Golino

Increasingly, large language models (LLMs) are being used to automate workplace processes requiring a high degree of creativity. While much prior work has examined the creativity of LLMs, there has been little research on whether they can…

Computation and Language · Computer Science 2024-09-04 Antonio Laverghetta , Simone Luchini , Averie Linell , Roni Reiter-Palmon , Roger Beaty

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…

Computation and Language · Computer Science 2024-04-03 Hang Jiang , Xiajie Zhang , Xubo Cao , Cynthia Breazeal , Deb Roy , Jad Kabbara

Reading comprehension tests are used in a variety of applications, reaching from education to assessing the comprehensibility of simplified texts. However, creating such tests manually and ensuring their quality is difficult and…

Computation and Language · Computer Science 2024-05-22 Andreas Säuberli , Simon Clematide

Generative large language models (LLMs) have become central to everyday life, producing human-like text across diverse domains. A growing body of research investigates whether these models also exhibit personality- and demographic-like…

Computation and Language · Computer Science 2025-10-14 Dana Sotto Porat , Ella Rabinovich

This research prepares an automatic pipeline for generating reliable question-answer (Q&A) tests using AI chatbots. We automatically generated a GPT-4o-mini-based Q&A test for a Natural Language Processing course and evaluated its…

Computation and Language · Computer Science 2025-08-08 Anna Wróblewska , Bartosz Grabek , Jakub Świstak , Daniel Dan

Large Language Models (LLMs) especially ChatGPT have produced impressive results in various areas, but their potential human-like psychology is still largely unexplored. Existing works study the virtual personalities of LLMs but rarely…

Computation and Language · Computer Science 2023-10-16 Haocong Rao , Cyril Leung , Chunyan Miao

Product review generation is an important task in recommender systems, which could provide explanation and persuasiveness for the recommendation. Recently, Large Language Models (LLMs, e.g., ChatGPT) have shown superior text modeling and…

Computation and Language · Computer Science 2024-07-11 Qiyao Peng , Hongtao Liu , Hongyan Xu , Qing Yang , Minglai Shao , Wenjun Wang

The widespread usage of computer-based assessments and individualized learning platforms has resulted in an increased demand for the rapid production of high-quality items. Automated item generation (AIG), the process of using item models…

Computation and Language · Computer Science 2023-04-11 Ummugul Bezirhan , Matthias von Davier

We evaluate large language models (LLMs) for automatic personality prediction from text under the binary Five Factor Model (BIG5). Five models -- including GPT-4 and lightweight open-source alternatives -- are tested across three…

Computation and Language · Computer Science 2025-12-01 Francesco Di Cursi , Chiara Boldrini , Marco Conti , Andrea Passarella

Academic programs are increasingly recognizing the importance of personal and professional skills and their critical role alongside technical expertise in preparing students for future success in diverse career paths. With this growing…

Computation and Language · Computer Science 2025-07-21 Cole Walsh , Rodica Ivan , Muhammad Zafar Iqbal , Colleen Robb

Large Language Models (LLMs) are demonstrating remarkable human like capabilities across diverse domains, including psychological assessment. This study evaluates whether LLMs, specifically GPT-4o and GPT-4o mini, can infer Big Five…

Computation and Language · Computer Science 2025-01-14 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

Persona conditioning is widely used to steer large language model (LLM) behavior, but it is unclear whether it induces stable behavioral structure or superficial variation. We propose a framework to measure consistent behavioral tendencies…

Artificial Intelligence · Computer Science 2026-05-12 Alexandra Yost , Shreyans Jain , Shivam Raval , Grant Corser , Allen Roush , Nina Xu , Jacqueline Hammack , Ravid Shwartz-Ziv , Amirali Abdullah

Recent advances in large language models (LLMs), such as ChatGPT, have showcased remarkable zero-shot performance across various NLP tasks. However, the potential of LLMs in personality detection, which involves identifying an individual's…

Computation and Language · Computer Science 2023-11-07 Tao Yang , Tianyuan Shi , Fanqi Wan , Xiaojun Quan , Qifan Wang , Bingzhe Wu , Jiaxiang Wu

Automatic systems are increasingly used to assess the originality of responses in creative tasks. They offer a potential solution to key limitations of human assessment (cost, fatigue, and subjectivity), but there is preliminary evidence of…

Human-Computer Interaction · Computer Science 2026-04-24 Umberto Domanti , Moritz Mock , Sergio Agnoli , Antonella De Angeli

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

Computation and Language · Computer Science 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

Human-Computer Interaction · Computer Science 2025-03-04 Si Thu , A. Baki Kocaballi

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

General Economics · Economics 2024-06-25 Magnus Lundgren

This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatbot powered by GPT-4 can infer personality with moderate…

Human-Computer Interaction · Computer Science 2024-05-24 Heinrich Peters , Moran Cerf , Sandra C. Matz
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