activity
20162024
most cited"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output

67 citations · 152 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.HC2023★ 1 cited

PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers' Workflows

Savvas Petridis, Michael Terry, Carrie J. Cai

Prototyping AI applications is notoriously difficult. While large language model (LLM) prompting has dramatically lowered the barriers to AI prototyping, designers are still protot…

cs.HC2023★ 2 cited

ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles

Savvas Petridis, Ben Wedin, James Wexler +5

Large language model (LLM) prompting is a promising new approach for users to create and customize their own chatbots. However, current methods for steering a chatbot's outputs, su…