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Large language models (LLMs) have become ubiquitous in providing different forms of writing assistance to different writers.
Language models are few-shot learners
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Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities. In Proceedings of the 2022 CHI conference on human factors in computing systems . ACM, New Orleans, LA, 1–19
Mina Lee, Percy Liang, and Qian Yang. 2022 · 2022
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Xin Zhao. 2022 · 2022
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Can AI Support Fiction Writers Without Writing For Them?. In Proceedings of the Second Workshop on Intelligent and Interactive Writing Assistants . ACM, Hamberg, Germany, 3 pages
Jessi Stark, Anthony Tang, Young-Ho Kim, Joonsuk Park, and Daniel Wigdor. 2023 · 2023
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Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . ACM, Hamberg, Germany, 1–21
JD Zamfirescu-Pereira, Richmond Y Wong, Bjoern Hartmann, and Qian Yang. 2023 · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
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Barrett R Anderson, Jash Hemant Shah, and Max Kreminski. 2024 · 2024
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Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers. In Proceedings of the 16th Conference on Creativity & Cognition . ACM, Chicago, IL, 132–155
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Writing with AI Lowers Psychological Ownership, but Longer Prompts Can Help
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Jaehyung Kim and Yiming Yang. 2024 · 2024
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Damien Masson, Young-Ho Kim, and Fanny Chevalier. 2024 · 2024
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User Agency in AI Deployments: Why Responsible AI Leads to Better Products
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Do LLMs write like humans? Variation in grammatical and rhetorical styles
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