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Large Language Models (LLMs) are central to reasoning, writing, and decision-support workflows, yet users lack consistent control over how they reason and express outputs. Conventional prompt engineering relies on verbose natural-language…

Programming Languages · Computer Science 2025-10-24 Mostapha Kalami Heris

The emergence of generative AI (GenAI) models, including large language models and text-to-image models, has significantly advanced the synergy between humans and AI with not only their outstanding capability but more importantly, the…

Human-Computer Interaction · Computer Science 2025-03-05 Leixian Shen , Haotian Li , Yifang Wang , Xing Xie , Huamin Qu

Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper…

Human-Computer Interaction · Computer Science 2024-01-29 Jon McCormack , Maria Teresa Llano , Stephen James Krol , Nina Rajcic

Using a text description as prompt to guide the generation of text or images (e.g., GPT-3 or DALLE-2) has drawn wide attention recently. Beyond text and image generation, in this work, we explore the possibility of utilizing text…

Audio and Speech Processing · Electrical Eng. & Systems 2022-11-23 Zhifang Guo , Yichong Leng , Yihan Wu , Sheng Zhao , Xu Tan

This pictorial presents an ongoing research programme comprising three practice-based Design Research projects conducted through 2024, exploring the affordances of diffusion-based AI image generation systems, specifically Stable Diffusion.…

Human-Computer Interaction · Computer Science 2024-11-21 Joseph Lindley , Roger Whitham

Visual blends combine elements from two distinct visual concepts into a single, integrated image, with the goal of conveying ideas through imaginative and often thought-provoking visuals. Communicating abstract concepts through visual…

Human-Computer Interaction · Computer Science 2025-02-25 Zhida Sun , Zhenyao Zhang , Yue Zhang , Min Lu , Dani Lischinski , Daniel Cohen-Or , Hui Huang

The rise of large language models (LLMs) has given rise to a class of prompt-based interactive systems where users primarily express their input in natural language. However, composing a prompt as a linear text string becomes unwieldy when…

Human-Computer Interaction · Computer Science 2026-04-22 Tengyou Xu , Detao Ma , Xiang 'Anthony' Chen

To help users do complex work, researchers have developed techniques to integrate AI and human intelligence into user interfaces (UIs). With the recent introduction of large language models (LLMs), which can generate text in response to a…

Human-Computer Interaction · Computer Science 2023-07-04 Stephen MacNeil , Andrew Tran , Joanne Kim , Ziheng Huang , Seth Bernstein , Dan Mogil

Large language models (LLMs) can enhance writing by automating or supporting specific tasks in writers' workflows (e.g., paraphrasing, creating analogies). Leveraging this capability, a collection of interfaces have been developed that…

Human-Computer Interaction · Computer Science 2023-03-28 Tae Soo Kim , Arghya Sarkar , Yoonjoo Lee , Minsuk Chang , Juho Kim

Creating stylized visualization requires going beyond the limited, abstract, geometric marks produced by most tools. Rather, the designer builds stylized idioms where the marks are both transformed (e.g., photographs of candles instead of…

Human-Computer Interaction · Computer Science 2023-04-05 Jiaqi Wu , John Joon Young Chung , Eytan Adar

Natural language descriptions of user interface (UI) elements such as alternative text are crucial for accessibility and language-based interaction in general. Yet, these descriptions are constantly missing in mobile UIs. We propose widget…

Machine Learning · Computer Science 2020-10-12 Yang Li , Gang Li , Luheng He , Jingjie Zheng , Hong Li , Zhiwei Guan

In argumentative writing, writers must brainstorm hierarchical writing goals, ensure the persuasiveness of their arguments, and revise and organize their plans through drafting. Recent advances in large language models (LLMs) have made…

Human-Computer Interaction · Computer Science 2023-07-31 Zheng Zhang , Jie Gao , Ranjodh Singh Dhaliwal , Toby Jia-Jun Li

The evidence on the effects of generative AI (GenAI) on critical thinking is mixed, with studies suggesting both potential harms and benefits depending on its implementation. Some argue that AI-driven provocations, such as questions asking…

Human-Computer Interaction · Computer Science 2026-03-23 Thomas Şerban von Davier , Hao-Ping Lee , Jodi Forlizzi , Sauvik Das

Augmented video presentation tools provide a natural way for presenters to interact with their content, resulting in engaging experiences for remote audiences, such as when a presenter uses hand gestures to manipulate and direct attention…

Human-Computer Interaction · Computer Science 2024-06-27 Temiloluwa Femi-Gege , Matthew Brehmer , Jian Zhao

Scriptwriting has traditionally been text-centric, a modality that only partially conveys the produced audiovisual experience. A formative study with professional writers informed us that connecting textual and audiovisual modalities can…

Human-Computer Interaction · Computer Science 2026-04-09 Zhecheng Wang , Jiaju Ma , Eitan Grinspun , Tovi Grossman , Bryan Wang

When designing a program, both novice programmers and seasoned developers alike often sketch out -- or, perhaps more famously, whiteboard -- their ideas. Yet despite the introduction of natively multimodal Generative AI models, work on…

Computers and Society · Computer Science 2026-02-12 David H. Smith , S. Moonwara A. Monisha , Annapurna Vadaparty , Leo Porter , Daniel Zingaro

The evolution of prompt learning methodologies has driven exploration of deeper prompt designs to enhance model performance. However, current deep text prompting approaches suffer from two critical limitations: Over-reliance on constrastive…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Qiqi Zhan , Shiwei Li , Qingjie Liu , Yunhong Wang

The rapid development of the Internet has profoundly changed human life. Humans are increasingly expressing themselves and interacting with others on social media platforms. However, although artificial intelligence technology has been…

Computation and Language · Computer Science 2024-07-11 Haochen Xue , Chong Zhang , Chengzhi Liu , Fangyu Wu , Xiaobo Jin

While most research on controllable text generation has focused on steering base Language Models, the emerging instruction-tuning and prompting paradigm offers an alternate approach to controllability. We compile and release ConGenBench, a…

Computation and Language · Computer Science 2024-05-03 Dhananjay Ashok , Barnabas Poczos

The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, achieving high-quality code often requires iterative…

Software Engineering · Computer Science 2025-06-03 Sophia DiCuffa , Amanda Zambrana , Priyanshi Yadav , Sashidhar Madiraju , Khushi Suman , Eman Abdullah AlOmar
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