19 citations · 20 across the 5 of their papers we have counts for
6 papers
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…
VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity
Yerong Li, Yiren Liu, Yun Huang
Scenario-based training has been widely adopted in many public service sectors. Recent advancements in Large Language Models (LLMs) have shown promise in simulating diverse persona…
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…