" We Need Structured Output": Towards User-centered Constraints on Large Language Model Output

MX Liu, F Liu, AJ Fiannaca, T Koo, L Dixon… - Extended Abstracts of …, 2024 - dl.acm.org
Large language models can produce creative and diverse responses. However, to integrate
them into current developer workflows, it is essential to constrain their outputs to follow …

" It Might be Technically Impressive, But It's Practically Useless to Us": Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within …

Q **ao, X Fan, FM Simon, B Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Recently, an increasing number of news organizations have integrated artificial intelligence
(AI) into their workflows, leading to a further influx of AI technologists and data workers into …

ReviewFlow: Intelligent scaffolding to support academic peer reviewing

L Sun, A Chan, YS Chang, SP Dow - Proceedings of the 29th …, 2024 - dl.acm.org
Peer review is a cornerstone of science. Research communities conduct peer reviews to
assess contributions and to improve the overall quality of science work. Every year, new …

Choicemates: Supporting unfamiliar online decision-making with multi-agent conversational interactions

J Park, B Min, K Son, JY Song, X Ma, J Kim - arxiv preprint arxiv …, 2023 - arxiv.org
From deciding on a PhD program to buying a new camera, unfamiliar decisions--decisions
without domain knowledge--are frequent and significant. The complexity and uncertainty of …

The Evolution of LLM Adoption in Industry Data Curation Practices

C Qian, MX Liu, E Reif, G Simon, N Hussein… - arxiv preprint arxiv …, 2024 - arxiv.org
As large language models (LLMs) grow increasingly adept at processing unstructured text
data, they offer new opportunities to enhance data curation workflows. This paper explores …

DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration

C Zheng, Y Zhang, Z Huang, C Shi, M Xu… - Proceedings of the 37th …, 2024 - dl.acm.org
Interdisciplinary studies often require researchers to explore literature in diverse branches of
knowledge. Yet, navigating through the highly scattered knowledge from unfamiliar …

Biospark: An end-to-end generative system for biological-analogical inspirations and ideation

HB Kang, DCE Lin, N Martelaro, A Kittur… - Extended Abstracts of …, 2024 - dl.acm.org
Nature often inspires solutions for complex engineering problems, but it is challenging for
designers to discover relevant analogies and synthesize from them. Here, we present an …

WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI

WH Deng, C Wang, HZ Han, JI Hong, K Holstein… - arxiv preprint arxiv …, 2025 - arxiv.org
There has been growing interest from both practitioners and researchers in engaging end
users in AI auditing, to draw upon users' unique knowledge and lived experiences …

PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation

TS Kuo, QZ Chen, AX Zhang, J Hsieh, H Zhu… - arxiv preprint arxiv …, 2024 - arxiv.org
Community and organizational policies are typically designed in a top-down, centralized
fashion, with limited input from impacted stakeholders. This can result in policies that are …

Memolet: Reifying the Reuse of User-AI Conversational Memories

R Yen, J Zhao - Proceedings of the 37th Annual ACM Symposium on …, 2024 - dl.acm.org
As users engage more frequently with AI conversational agents, conversations may exceed
their “memory” capacity, leading to failures in correctly leveraging certain memories for …