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Accurately predicting individual aesthetic evaluation for images is a fundamental challenge for AI. Various deep learning (DL)-based models have been proposed for this task, training on image evaluation data to extract objective low-level…

Artificial Intelligence · Computer Science 2026-05-15 Yoshia Abe , Tatsuya Daikoku , Yasuo Kuniyoshi

Large Language Models (LLMs) are increasingly employed in software engineering tasks such as requirements elicitation, design, and evaluation, raising critical questions regarding their alignment with human judgments on responsible AI…

Software Engineering · Computer Science 2025-11-07 Asma Yamani , Malak Baslyman , Moataz Ahmed

We randomly deploy questions constructed with and without use of the LLM tool and gauge the ability of the students to correctly answer, as well as their ability to correctly perceive the difference between human-authored and LLM-authored…

Computers and Society · Computer Science 2025-03-26 Gavin Witsken , Igor Crk , Eren Gultepe

With the rapid adoption of LLM-based chatbots, there is a pressing need to evaluate what humans and LLMs can achieve together. However, standard benchmarks, such as MMLU, measure LLM capabilities in isolation (i.e., "AI-alone"). Here, we…

Computation and Language · Computer Science 2025-08-13 Serina Chang , Ashton Anderson , Jake M. Hofman

Recent research shows that greater numbers of people are turning to Large Language Models (LLMs) for emotional support, and that people rate LLM responses as more empathic than human-written responses. We suggest a reason for this success:…

Computation and Language · Computer Science 2026-04-10 Emma Gueorguieva , Hongli Zhan , Jina Suh , Javier Hernandez , Tatiana Lau , Junyi Jessy Li , Desmond C. Ong

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…

Computation and Language · Computer Science 2024-11-12 Jingyao Zheng , Xian Wang , Simo Hosio , Xiaoxian Xu , Lik-Hang Lee

The rapid advancements in large language models (LLMs) have significantly improved their ability to generate natural language, making texts generated by LLMs increasingly indistinguishable from human-written texts. Recent research has…

Computation and Language · Computer Science 2024-12-05 Sergio E. Zanotto , Segun Aroyehun

Grading assessments is time-consuming and prone to human bias. Students may experience delays in receiving feedback that may not be tailored to their expectations or needs. Harnessing AI in education can be effective for grading…

Physics Education · Physics 2025-12-01 Ryan Mok , Faraaz Akhtar , Louis Clare , Christine Li , Jun Ida , Lewis Ross , Mario Campanelli

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…

Human-Computer Interaction · Computer Science 2024-02-14 Kristina Radivojevic , Nicholas Clark , Paul Brenner

In recent years, Large Language Models (LLMs) have emerged as a transformative development in artificial intelligence (AI), drawing significant attention from industry and academia. Trained on vast datasets, these sophisticated AI systems…

Artificial Intelligence · Computer Science 2025-01-15 Oudom Hean , Utsha Saha , Binita Saha

Traditional methods for eliciting people's opinions face a trade-off between depth and scale: structured surveys enable large-scale data collection but limit respondents' ability to voice their opinions in their own words, while…

Human-Computer Interaction · Computer Science 2025-03-13 Alexander Wuttke , Matthias Aßenmacher , Christopher Klamm , Max M. Lang , Quirin Würschinger , Frauke Kreuter

We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of…

Computation and Language · Computer Science 2023-07-12 Michael O'Neill , Mark Connor

Many important decisions in our everyday lives, such as authentication via biometric models, are made by Artificial Intelligence (AI) systems. These can be in poor alignment with human expectations, and testing them on clear-cut existing…

Human-Computer Interaction · Computer Science 2024-09-20 Lukas Mecke , Daniel Buschek , Uwe Gruenefeld , Florian Alt

As general-purpose artificial intelligence systems become increasingly integrated into society and are used for information seeking, content generation, problem solving, textual analysis, coding, and running processes, it is crucial to…

Computers and Society · Computer Science 2025-08-28 Ljubisa Bojic , Dylan Seychell , Milan Cabarkapa

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

We conduct a quantitative analysis contrasting human-written English news text with comparable large language model (LLM) output from six different LLMs that cover three different families and four sizes in total. Our analysis spans several…

Computation and Language · Computer Science 2024-09-04 Alberto Muñoz-Ortiz , Carlos Gómez-Rodríguez , David Vilares

Large language models (LLMs) are solidifying their position in the modern world as effective tools for the automatic generation of text. Their use is quickly becoming commonplace in fields such as education, healthcare, and scientific…

Computation and Language · Computer Science 2025-10-08 Luka Terčon , Kaja Dobrovoljc

Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of imperfections in Artificial Intelligence Generated Content…

Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text generation, reasoning, and decision-making. While their success has…

Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we explore whether they exhibit personality traits. To this end,…

Computation and Language · Computer Science 2025-02-11 Pranav Bhandari , Usman Naseem , Amitava Datta , Nicolas Fay , Mehwish Nasim