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The degree to which large language models (LLMs) produce writing that is truly human-like remains unclear despite the extensive empirical attention that this question has received. The present study addresses this question from the…

Computation and Language · Computer Science 2026-01-27 Kelly Kendro , Jeffrey Maloney , Scott Jarvis

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

This study explores the feasibility of using large language models (LLMs), specifically GPT-4o (ChatGPT), for automated grading of conceptual questions in an undergraduate Mechanical Engineering course. We compared the grading performance…

Computers and Society · Computer Science 2024-11-07 Rujun Gao , Xiaosu Guo , Xiaodi Li , Arun Balajiee Lekshmi Narayanan , Naveen Thomas , Arun R. Srinivasa

Large Language Models (LLMs), which simulate human users, are frequently employed to evaluate chatbots in applications such as tutoring and customer service. Effective evaluation necessitates a high degree of human-like diversity within…

Computation and Language · Computer Science 2024-09-04 Xiaoyu Lin , Xinkai Yu , Ankit Aich , Salvatore Giorgi , Lyle Ungar

In the rapidly evolving field of artificial intelligence, large language models (LLMs) have demonstrated significant capabilities across numerous applications. However, the performance of these models in languages with fewer resources, such…

Computation and Language · Computer Science 2024-05-24 Birger Moell

Using large language models (LLMs) for automatic evaluation has become an important evaluation method in NLP research. However, it is unclear whether these LLM-based evaluators can be applied in real-world classrooms to assess student…

Computation and Language · Computer Science 2024-09-24 Cheng-Han Chiang , Wei-Chih Chen , Chun-Yi Kuan , Chienchou Yang , Hung-yi Lee

As we consider entrusting Large Language Models (LLMs) with key societal and decision-making roles, measuring their alignment with human cognition becomes critical. This requires methods that can assess how these systems represent…

Artificial Intelligence · Computer Science 2025-10-03 Mattson Ogg , Ritwik Bose , Jamie Scharf , Christopher Ratto , Michael Wolmetz

Large language models (LLMs) have achieved remarkable breakthroughs in new dialogue capabilities by leveraging instruction tuning, which refreshes human impressions of dialogue systems. The long-standing goal of dialogue systems is to be…

Computation and Language · Computer Science 2024-04-01 Jiao Ou , Junda Lu , Che Liu , Yihong Tang , Fuzheng Zhang , Di Zhang , Kun Gai

Large Language Models (LLMs) can be tasked with scoring texts according to pre-defined criteria and on a defined scale, but there is no recognised optimal prompting strategy for this. This article focuses on the task of LLMs scoring journal…

Digital Libraries · Computer Science 2025-12-02 Mike Thelwall

Large Language Models (LLMs) like GPT-4o can help automate text classification tasks at low cost and scale. However, there are major concerns about the validity and reliability of LLM outputs. By contrast, human coding is generally more…

Computation and Language · Computer Science 2025-01-17 Conrad Borchers , Danielle R. Thomas , Jionghao Lin , Ralph Abboud , Kenneth R. Koedinger

Evaluating large language models (LLMs) in long-form, knowledge-grounded role-play dialogues remains challenging. This study compares LLM-generated and human-authored responses in multi-turn professional training simulations through human…

Computation and Language · Computer Science 2025-10-10 Dongxu Lu , Johan Jeuring , Albert Gatt

Large Language Models (LLMs) offer promising avenues for methodological and applied innovations in survey research by using synthetic respondents to emulate human answers and behaviour, potentially mitigating measurement and representation…

Computation and Language · Computer Science 2025-09-22 Bastián González-Bustamante , Nando Verelst , Carla Cisternas

The rapid advancement of Large Language Models (LLMs) in the realm of mathematical reasoning necessitates comprehensive evaluations to gauge progress and inspire future directions. Existing assessments predominantly focus on problem-solving…

Computation and Language · Computer Science 2024-06-05 Xiaoyuan Li , Wenjie Wang , Moxin Li , Junrong Guo , Yang Zhang , Fuli Feng

This paper investigates the performance of the Large Language Models (LLMs) ChatGPT-3.5 and GPT-4 in solving introductory programming tasks. Based on the performance, implications for didactic scenarios and assessment formats utilizing LLMs…

Software Engineering · Computer Science 2023-08-21 Natalie Kiesler , Daniel Schiffner

Artificial Intelligence (AI) and Large Language Models (LLMs) have rapidly evolved in recent years, showcasing remarkable capabilities in natural language understanding and generation. However, these advancements also raise critical ethical…

Computation and Language · Computer Science 2025-05-09 Yehor Tereshchenko , Mika Hämäläinen

Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Tesla, and Apple (GAFA) investing heavily in their…

Artificial Intelligence · Computer Science 2023-05-11 Frank Joublin , Antonello Ceravola , Joerg Deigmoeller , Michael Gienger , Mathias Franzius , Julian Eggert

Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has significantly advanced NLP tasks by enhancing the capabilities of conversational models. However, the application of LLMs in the recommendation domain has…

Information Retrieval · Computer Science 2023-08-24 Junling Liu , Chao Liu , Peilin Zhou , Qichen Ye , Dading Chong , Kang Zhou , Yueqi Xie , Yuwei Cao , Shoujin Wang , Chenyu You , Philip S. Yu

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…

Computation and Language · Computer Science 2025-10-28 Sandeep Kumar , Tirthankar Ghosal , Vinayak Goyal , Asif Ekbal

Large language models (LLMs) have demonstrated exceptional performance across various linguistic tasks. However, it remains uncertain whether LLMs have developed human-like fine-grained grammatical intuition. This preregistered study…

Computation and Language · Computer Science 2024-06-18 Zhuang Qiu , Xufeng Duan , Zhenguang G. Cai

This study compares the performance of AI-generated and human-written product descriptions using a multifaceted evaluation model. We analyze descriptions for 100 products generated by four AI models (Gemma 2B, LLAMA, GPT2, and ChatGPT 4)…

Computation and Language · Computer Science 2024-12-30 Sanjukta Ghosh