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" We Need Structured Output": Towards User-centered Constraints on Large Language Model Output
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 …
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 …
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 …
(AI) into their workflows, leading to a further influx of AI technologists and data workers into …
ReviewFlow: Intelligent scaffolding to support academic peer reviewing
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 …
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
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 …
without domain knowledge--are frequent and significant. The complexity and uncertainty of …
The Evolution of LLM Adoption in Industry Data Curation Practices
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 …
data, they offer new opportunities to enhance data curation workflows. This paper explores …
DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration
Interdisciplinary studies often require researchers to explore literature in diverse branches of
knowledge. Yet, navigating through the highly scattered knowledge from unfamiliar …
knowledge. Yet, navigating through the highly scattered knowledge from unfamiliar …
Biospark: An end-to-end generative system for biological-analogical inspirations and ideation
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 …
designers to discover relevant analogies and synthesize from them. Here, we present an …
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
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 …
users in AI auditing, to draw upon users' unique knowledge and lived experiences …
PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation
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 …
fashion, with limited input from impacted stakeholders. This can result in policies that are …
Memolet: Reifying the Reuse of User-AI Conversational Memories
As users engage more frequently with AI conversational agents, conversations may exceed
their “memory” capacity, leading to failures in correctly leveraging certain memories for …
their “memory” capacity, leading to failures in correctly leveraging certain memories for …