4 papers · 1 filter
Who Owns Creativity and Who Does the Work? Trade-offs in LLM-Supported Research Ideation
Houjiang Liu, Yujin Choi, Sanjana Gautam +3
LLM-based agents offer new potential to accelerate science and reshape research work. However, the quality of researcher contributions can vary significantly depending on human abi…
Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates
Li Shi, Houjiang Liu, Yian Wong +4
Multi-persona debate systems powered by large language models (LLMs) show promise in reducing confirmation bias, which can fuel echo chambers and social polarization. However, empi…
Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers
Houjiang Liu, Jacek Gwizdka, Matthew Lease
Given the volume of potentially false claims online, claim prioritization is essential in allocating limited human resources available for fact-checking. In this study, we perceive…
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
Houjiang Liu, Anubrata Das, Alexander Boltz +4
While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such…