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Academic writing is an indispensable yet laborious part of the research enterprise. This Perspective maps out principles and methods for using generative artificial intelligence (AI), specifically large language models (LLMs), to elevate…

计算机与社会 · 计算机科学 2026-04-07 Zhicheng Lin

The Large Language Models (LLMs) exhibit remarkable ability to generate fluent content across a wide spectrum of user queries. However, this capability has raised concerns regarding misinformation and personal information leakage. In this…

As large language models (LLMs) generate text that increasingly resembles human writing, the subtle cues that distinguish AI-generated content from human-written content become increasingly challenging to capture. Reliance on…

计算与语言 · 计算机科学 2026-04-16 Xiao Pu , Zepeng Cheng , Lin Yuan , Yu Wu , Xiuli Bi

The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has…

Generative artificial intelligence (GenAI) holds great promise as a tool to support personalized learning. Teachers need tools to efficiently and effectively enhance content readability of educational texts so that they are matched to…

The advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and significant concerns regarding content authenticity and…

The growing capability of large language models to produce fluent, contextually coherent text has created mounting pressure on the systems and institutions responsible for ensuring the authenticity of digital content. Advanced generative…

The recent surge in high-quality open-source Generative AI text models (colloquially: LLMs), as well as efficient finetuning techniques, have opened the possibility of creating high-quality personalized models that generate text attuned to…

计算与语言 · 计算机科学 2025-06-03 Eugenia Iofinova , Andrej Jovanovic , Dan Alistarh

Artificial intelligence systems increasingly generate text intended to provide social and emotional support. Understanding how users perceive empathic qualities in such content is therefore critical. We examined differences in perceived…

计算机与社会 · 计算机科学 2026-02-20 Jonas Festor , Ivo Snels , Bennett Kleinberg

AI Tool is a large language model (LLM) designed to generate human-like responses in natural language conversations. It is trained on a massive corpus of text from the internet, which allows it to leverage a broad understanding of language,…

人机交互 · 计算机科学 2023-08-22 Hitesh Mohapatra , Soumya Ranjan Mishra

Large language models (LLMs) are increasingly being utilised across a range of tasks and domains, with a burgeoning interest in their application within the field of journalism. This trend raises concerns due to our limited understanding of…

计算与语言 · 计算机科学 2024-06-18 Filip Trhlik , Pontus Stenetorp

Large Language Models (LLM) have made significant advances in the recent past becoming more mainstream in Artificial Intelligence (AI) enabled human-facing applications. However, LLMs often generate stereotypical output inherited from…

计算与语言 · 计算机科学 2023-11-27 Wu Zekun , Sahan Bulathwela , Adriano Soares Koshiyama

Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a…

Large Language Models (LLMs) created new opportunities for generating personas, expected to streamline and accelerate the human-centered design process. Yet, AI-generated personas may not accurately represent actual user experiences, as…

Large language models (LLMs) have gained significant attention due to their ability to mimic human language. Identifying texts generated by LLMs is crucial for understanding their capabilities and mitigating potential consequences. This…

计算与语言 · 计算机科学 2024-07-19 Anjali Rawal , Hui Wang , Youjia Zheng , Yu-Hsuan Lin , Shanu Sushmita

Peer review is a critical process for ensuring the integrity of published scientific research. Confidence in this process is predicated on the assumption that experts in the relevant domain give careful consideration to the merits of…

计算与语言 · 计算机科学 2024-12-09 Sungduk Yu , Man Luo , Avinash Madasu , Vasudev Lal , Phillip Howard

Text-to-Image and Text-to-Video AI generation models are revolutionary technologies that use deep learning and natural language processing (NLP) techniques to create images and videos from textual descriptions. This paper investigates…

计算机视觉与模式识别 · 计算机科学 2023-11-14 Aditi Singh

The rapid proliferation of Large Language Models has significantly increased the difficulty of distinguishing between human-written and AI generated texts, raising critical issues across academic, editorial, and social domains. This paper…

计算与语言 · 计算机科学 2026-03-20 Cristian Buttaro , Irene Amerini

Multi-purpose Large Language Models (LLMs), a subset of generative Artificial Intelligence (AI), have recently made significant progress. While expectations for LLMs to assist systems engineering (SE) tasks are paramount; the…

计算与语言 · 计算机科学 2025-02-17 Taylan G. Topcu , Mohammed Husain , Max Ofsa , Paul Wach

Modern businesses are increasingly challenged by the time and expense required to generate and assess high-quality content. Human writers face time constraints, and extrinsic evaluations can be costly. While Large Language Models (LLMs)…

人工智能 · 计算机科学 2025-12-10 Thanh Vu , Richi Nayak , Thiru Balasubramaniam
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