19 citations · 20 across the 5 of their papers we have counts for
5 papers · 1 filter
From Words to Widgets for Controllable LLM Generation
Chao Zhang, Yiren Liu, Lunyiu Nie +3
Natural language remains the predominant way people interact with large language models (LLMs). However, users often struggle to precisely express and control subjective preference…
Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation
Yiren Liu, Viraj Shah, Sangho Suh +3
Recent advances in multi-agent systems (MAS) enable tools for information search and ideation by assigning personas to agents. However, how users can effectively control, steer, an…
Improving Emotional Support Delivery in Text-Based Community Safety Reporting Using Large Language Models
Yiren Liu, Yerong Li, Ryan Mayfield +1
Emotional support is a crucial aspect of communication between community members and police dispatchers during incident reporting. However, there is a lack of understanding about h…
EvAlignUX: Advancing UX Evaluation through LLM-Supported Metrics Exploration
Qingxiao Zheng, Minrui Chen, Pranav Sharma +4
Evaluating UX in the context of AI's complexity, unpredictability, and generative nature presents unique challenges. How can we support HCI researchers to create comprehensive UX e…
PersonaFlow: Designing LLM-Simulated Expert Perspectives for Enhanced Research Ideation
Yiren Liu, Pranav Sharma, Mehul Jitendra Oswal +2
Generating interdisciplinary research ideas requires diverse domain expertise, but access to timely feedback is often limited by the availability of experts. In this paper, we intr…