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Related papers: Jokeasy: Exploring Human-AI Collaboration in Thema…

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Collaboration has been shown to enhance creativity, leading to more innovative and effective outcomes. While previous research has explored the abilities of Large Language Models (LLMs) to serve as co-creative partners in tasks like writing…

Human-Computer Interaction · Computer Science 2025-01-24 Zhikun Wu , Thomas Weber , Florian Müller

This study presents a theory-inspired visual narrative generative system that integrates conceptual principles-comic authoring idioms-with generative and language models to enhance the comic creation process. Our system combines human…

Artificial Intelligence · Computer Science 2024-09-27 Yi-Chun Chen , Arnav Jhala

With the recent advances in Artificial Intelligence (AI) and Large Language Models (LLMs), the automation of daily tasks, like automatic writing, is getting more and more attention. Hence, efforts have focused on aligning LLMs with human…

Computation and Language · Computer Science 2025-06-09 Mohammadamin Shafiei , Hamidreza Saffari

Humor is a social binding agent. It is an act of creativity that can provoke emotional reactions on a broad range of topics. Humor has long been thought to be "too human" for AI to generate. However, humans are complex, and humor requires…

Human-Computer Interaction · Computer Science 2025-02-13 Sean Kim , Lydia B. Chilton

We interviewed twenty professional comedians who perform live shows in front of audiences and who use artificial intelligence in their artistic process as part of 3-hour workshops on ``AI x Comedy'' conducted at the Edinburgh Festival…

Artificial Intelligence · Computer Science 2024-06-05 Piotr Wojciech Mirowski , Juliette Love , Kory W. Mathewson , Shakir Mohamed

Humor generation is a challenging task in natural language processing due to limited resources and the quality of existing datasets. Available humor language resources often suffer from toxicity and duplication, limiting their effectiveness…

Computation and Language · Computer Science 2024-12-13 Dmitry Vikhorev , Daria Galimzianova , Svetlana Gorovaia , Elizaveta Zhemchuzhina , Ivan P. Yamshchikov

Large Language Models (LLMs) have demonstrated impressive text generation capabilities, prompting us to reconsider the future of human-AI co-creation and how humans interact with LLMs. In this paper, we present a spectrum of content…

Artificial Intelligence · Computer Science 2023-03-15 Zijian Ding , Joel Chan

Creating meaningful visual narratives through human-AI collaboration requires understanding how text-image intertextuality emerges when textual intentions meet AI-generated visuals. We conducted a three-phase qualitative study with 15…

Human-Computer Interaction · Computer Science 2025-11-06 Mengyao Guo , Kexin Nie , Ze Gao , Black Sun , Xueyang Wang , Jinda Han , Xingting Wu

Comedy serves as a profound reflection of the times we live in and is a staple element of human interactions. In light of the widespread adoption of Large Language Models (LLMs), the intersection of humor and AI has become no laughing…

Computation and Language · Computer Science 2025-11-25 Adrianna Romanowski , Pedro H. V. Valois , Kazuhiro Fukui

The rapid advancement of Large Language Models (LLMs) has revolutionized text generation but also raised concerns about potential misuse, making detecting LLM-generated text (AI text) increasingly essential. While prior work has focused on…

Computation and Language · Computer Science 2025-09-30 Nafis Irtiza Tripto , Saranya Venkatraman , Mahjabin Nahar , Dongwon Lee

Current research has explored how Generative AI can support the brainstorming process for content creators, but a gap remains in exploring support-tools for the pre-writing process. Specifically, our research is focused on supporting users…

Human-Computer Interaction · Computer Science 2024-06-19 Grace Li , Tao Long , Lydia B. Chilton

Human-AI interactions are increasingly part of everyday life, yet the interpersonal dynamics that unfold during such exchanges remain underexplored. This study investigates how emotional alignment, semantic exploration, and linguistic…

Human-Computer Interaction · Computer Science 2025-12-22 Halfdan Nordahl Fundal , Johannes Eide Rambøll , Karsten Olsen

Automated humor generation with Large Language Models (LLMs) often yields jokes that feel generic, repetitive, or tone-deaf because humor is deeply situated and hinges on the listener's cultural background, mindset, and immediate context.…

Computation and Language · Computer Science 2025-08-18 Shivam Dubey

The proliferation of Large Language Models (LLMs) raises a critical question about what it means to be human when we share an increasingly symbiotic relationship with persuasive and creative machines. This paper examines patterns of…

Computers and Society · Computer Science 2026-02-17 Vivan Doshi , Mengyuan Li

The rapid adoption of Generative AI, including LLM-based chatbots like ChatGPT, has highlighted the need for accessible ways to support public understanding and AI literacy. To address this need, we introduce a game-based, interactive…

Computation and Language · Computer Science 2026-05-21 Francesca Padovani , Malvina Nissim

Humour, as a complex language form, is derived from myriad aspects of life. Whilst existing work on computational humour has focussed almost exclusively on short pun-based jokes, we investigate whether the ability of Large Language Models…

Computation and Language · Computer Science 2025-09-15 Tyler Loakman , William Thorne , Chenghua Lin

The advent of large language models (LLMs) has made it possible to generate natural written dialogues between two agents. However, generating human-like spoken dialogues from these written dialogues remains challenging. Spoken dialogues…

Computation and Language · Computer Science 2023-10-03 Kentaro Mitsui , Yukiya Hono , Kei Sawada

Large Language Models (LLMs) are increasingly used in educational settings as interactive tools for collaboration. However, their tendency toward sycophancy, aligning with user beliefs even when incorrect, raises concerns for learning and…

Human-Computer Interaction · Computer Science 2026-05-22 Cansu Koyuturk , Sabrina Guidotti , Dimitri Ognibene

Humor is a fundamental facet of human cognition and interaction. Yet, despite recent advances in natural language processing, humor detection remains a challenging task that is complicated by the scarcity of datasets that pair humorous…

Computation and Language · Computer Science 2024-06-24 Zachary Horvitz , Jingru Chen , Rahul Aditya , Harshvardhan Srivastava , Robert West , Zhou Yu , Kathleen McKeown

Generative AI is increasingly integrated into writing support, yet current chat-based interfaces often obscure referential context and risk amplifying automation bias and overreliance. We introduce AnchoredAI, a novel system that anchors AI…

Human-Computer Interaction · Computer Science 2025-09-22 Martin Lou , Jackie Crowley , Samuel Dodson , Dongwook Yoon
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