activity
20242026
most citedBotender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2026

PolicyPad: Collaborative Prototyping of LLM Policies

K. J. Kevin Feng, Tzu-Sheng Kuo, Quan Ze Chen +3

As LLMs gain adoption in high-stakes domains like mental health, domain experts are increasingly consulted to provide input into policies governing their behavior. From an observat…

cs.HC20261 cited

Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations

Tzu-Sheng Kuo, Sophia Liu, Quan Ze Chen +4

AI agents, or bots, serve important roles in online communities. However, they are often designed by outsiders or a few tech-savvy members, leading to bots that may not align with…

cs.HC2025

Case Law Grounding: Using Precedents to Align Decision-Making for Humans and AI

Quan Ze Chen, Amy X. Zhang

From moderating content within an online community to producing socially-appropriate generative outputs, decision-making tasks -- conducted by either humans or AI -- often depend o…

cs.HC2025

Canvil: Designerly Adaptation for LLM-Powered User Experiences

K. J. Kevin Feng, Q. Vera Liao, Ziang Xiao +3

Advancements in large language models (LLMs) are sparking a proliferation of LLM-powered user experiences (UX). In product teams, designers often craft UX to meet user needs, but i…

cs.CL2024

SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment

Quan Ze Chen, K. J. Kevin Feng, Chan Young Park +1

When different groups' values differ, one approach to model alignment is to steer models at inference time towards each group's preferences. However, techniques like in-context lea…