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This study evaluates the effectiveness of ChatGPT, an advanced AI model for natural language processing, in identifying targeting and inappropriate language in online comments. With the increasing challenge of moderating vast volumes of…

Computation and Language · Computer Science 2025-05-29 Barbarestani Baran , Maks Isa , Vossen Piek

Text-conditioned image generation models have recently shown immense qualitative success using denoising diffusion processes. However, unlike discriminative vision-and-language models, it is a non-trivial task to subject these…

Computer Vision and Pattern Recognition · Computer Science 2023-11-06 Benno Krojer , Elinor Poole-Dayan , Vikram Voleti , Christopher Pal , Siva Reddy

Speech-driven animation has gained significant traction in recent years, with current methods achieving near-photorealistic results. However, the field remains underexplored regarding non-verbal communication despite evidence demonstrating…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Antoni Bigata Casademunt , Rodrigo Mira , Nikita Drobyshev , Konstantinos Vougioukas , Stavros Petridis , Maja Pantic

Transformer-based language models, including ChatGPT, have demonstrated exceptional performance in various natural language generation tasks. However, there has been limited research evaluating ChatGPT's keyphrase generation ability, which…

Computation and Language · Computer Science 2023-06-30 Roberto Martínez-Cruz , Alvaro J. López-López , José Portela

The recent surge in popularity of diffusion models for image generation has brought new attention to the potential of these models in other areas of media generation. One area that has yet to be fully explored is the application of…

Sound · Computer Science 2023-02-01 Flavio Schneider

As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) has made headlines everywhere because of its ability to analyze and create text, images, and beyond. With such overwhelming media coverage, it is almost impossible for…

We fine-tuned a foundational stable diffusion model using X-ray scattering images and their corresponding descriptions to generate new scientific images from given prompts. However, some of the generated images exhibit significant…

Image and Video Processing · Electrical Eng. & Systems 2024-08-26 Zhuowen Zhao , Xiaoya Chong , Tanny Chavez , Alexander Hexemer

Story visualization requires generating sequential imagery that aligns semantically with evolving narratives while maintaining rigorous consistency in character identity and visual style. However, existing methodologies often struggle with…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Jianzhang Zhang , Yijing Tian , Jiwang Qu , Chuang Liu

A chatbot is perceived as more humanlike and likeable if it includes some jokes in its output. But most existing joke generators were not designed to be integrated into chatbots. This paper presents Witscript, a novel joke generation system…

Computation and Language · Computer Science 2023-02-07 Joe Toplyn

The impressive achievements of generative models in creating high-quality videos have raised concerns about digital integrity and privacy vulnerabilities. Recent works to combat Deepfakes videos have developed detectors that are highly…

Computer Vision and Pattern Recognition · Computer Science 2024-06-17 Qingyuan Liu , Pengyuan Shi , Yun-Yun Tsai , Chengzhi Mao , Junfeng Yang

Generative Artificial Intelligence (AI) is a cutting-edge technology capable of producing text, images, and various media content leveraging generative models and user prompts. Between 2022 and 2023, generative AI surged in popularity with…

Artificial Intelligence · Computer Science 2023-10-27 Nouar AlDahoul , Joseph Hong , Matteo Varvello , Yasir Zaki

In this study, we introduce Generative Manufacturing Systems (GMS) as a novel approach to effectively manage and coordinate autonomous manufacturing assets, thereby enhancing their responsiveness and flexibility to address a wide array of…

Machine Learning · Computer Science 2025-01-10 Xingyu Li , Fei Tao , Wei Ye , Aydin Nassehi , John W. Sutherland

Large language models (LLMs) have been widely employed for graph-to-text generation tasks. However, the process of finetuning LLMs requires significant training resources and annotation work. In this paper, we explore the capability of…

Computation and Language · Computer Science 2023-07-28 Shuzhou Yuan , Michael Färber

Shear wall structures are widely used in high-rise residential buildings, and the layout of shear walls requires many years of design experience and iterative trial and error. Currently, there are methods based on heuristic algorithms, but…

Artificial Intelligence · Computer Science 2023-05-19 Lufeng Wang , Jiepeng Liu , Guozhong Cheng , En Liu , Wei Chen

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to…

Character Animation aims to generating character videos from still images through driving signals. Currently, diffusion models have become the mainstream in visual generation research, owing to their robust generative capabilities. However,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-14 Li Hu , Xin Gao , Peng Zhang , Ke Sun , Bang Zhang , Liefeng Bo

This research delves into the construction and utilization of synthetic datasets, specifically within the telematics sphere, leveraging OpenAI's powerful language model, ChatGPT. Synthetic datasets present an effective solution to…

Computers and Society · Computer Science 2023-06-27 Ryan Lingo

Diffusion-based text-to-image generative models, e.g., Stable Diffusion, have revolutionized the field of content generation, enabling significant advancements in areas like image editing and video synthesis. Despite their formidable…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Yanyu Li , Xian Liu , Anil Kag , Ju Hu , Yerlan Idelbayev , Dhritiman Sagar , Yanzhi Wang , Sergey Tulyakov , Jian Ren

Adopting contextually appropriate, audience-tailored linguistic styles is critical to the success of user-centric language generation systems (e.g., chatbots, computer-aided writing, dialog systems). While existing approaches demonstrate…

Computation and Language · Computer Science 2023-01-26 Samraj Moorjani , Adit Krishnan , Hari Sundaram , Ewa Maslowska , Aravind Sankar

We investigate whether large language models can perform the creative hypothesis generation that human researchers regularly do. While the error rate is high, generative AI seems to be able to effectively structure vast amounts of…

Computation and Language · Computer Science 2023-04-25 Yang Jeong Park , Daniel Kaplan , Zhichu Ren , Chia-Wei Hsu , Changhao Li , Haowei Xu , Sipei Li , Ju Li
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