The metacognitive demands and opportunities of generative AI

L Tankelevitch, V Kewenig, A Simkute… - Proceedings of the …, 2024 - dl.acm.org
Generative AI (GenAI) systems offer unprecedented opportunities for transforming
professional and personal work, yet present challenges around prompting, evaluating and …

The value, benefits, and concerns of generative ai-powered assistance in writing

Z Li, C Liang, J Peng, M Yin - Proceedings of the 2024 CHI Conference …, 2024 - dl.acm.org
Recent advances in generative AI technologies like large language models raise both
excitement and concerns about the future of human-AI co-creation in writing. To unpack …

The effects of generative ai on computing students' help-seeking preferences

I Hou, S Mettille, O Man, Z Li, C Zastudil… - Proceedings of the 26th …, 2024 - dl.acm.org
Help-seeking is a critical way that students learn new concepts, acquire new skills, and get
unstuck when problem-solving in their computing courses. The recent proliferation of …

Towards dataset-scale and feature-oriented evaluation of text summarization in large language model prompts

S Yu-Te Lee, A Bahukhandi, D Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recent advancements in Large Language Models (LLMs) and Prompt Engineering have
made chatbot customization more accessible, significantly reducing barriers to tasks that …

Memory sandbox: Transparent and interactive memory management for conversational agents

Z Huang, S Gutierrez, H Kamana… - Adjunct Proceedings of the …, 2023 - dl.acm.org
The recent advent of large language models (LLM) has resulted in high-performing
conversational agents such as ChatGPT. These agents must remember key information from …

Designing LLM chains by adapting techniques from crowdsourcing workflows

M Grunde-McLaughlin, MS Lam, R Krishna… - arxiv preprint arxiv …, 2023 - arxiv.org
LLM chains enable complex tasks by decomposing work into a sequence of subtasks.
Similarly, the more established techniques of crowdsourcing workflows decompose complex …

Using llms to customize the ui of webpages

A Li, J Wu, JP Bigham - Adjunct Proceedings of the 36th Annual ACM …, 2023 - dl.acm.org
LLMs have capabilities to understand natural language and code, which makes them a
great candidate for user-driven customization of webpages. A process that focuses on …

Generative AI and learning analytics

H Khosravi, O Viberg, V Kovanovic… - Journal of Learning …, 2023 - oro.open.ac.uk
This editorial looks back at the Journal of Learning Analytics (JLA) in 2023 and forward to
2024. Considering the recent proliferation of large language models such as GPT4 and …

Comparing traditional and LLM-based search for image geolocation

A Wazzan, S MacNeil, R Souvenir - … of the 2024 Conference on Human …, 2024 - dl.acm.org
Web search engines have long served as indispensable tools for information retrieval; user
behavior and query formulation strategies have been well studied. The introduction of …

Enhancing programming error messages in real time with generative AI

B Kimmel, AL Geisert, L Yaro, B Gipson… - Extended Abstracts of …, 2024 - dl.acm.org
Generative AI is changing the way that many disciplines are taught, including computer
science. Researchers have shown that generative AI tools are capable of solving …