2 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
Beyond the Mean: Three-Axis Fidelity for Aligning LLM-Based Survey Simulators from Small Pilot Data
Eun Cheol Choi, Youngrae Kim, Prabhu Pugalenthi +2
Large language models (LLMs) are increasingly used to simulate social survey responses, yet their outputs exhibit systematic biases: marginal distributions are skewed, response var…
Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
Eun Cheol Choi, Ashwin Balasubramanian, Jinhu Qi +1
Misinformation surrounding emerging outbreaks poses a serious societal threat, making robust countermeasures essential. One promising approach is stance detection (SD), which ident…
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
Eun Cheol Choi, Emilio Ferrara
Our society is facing rampant misinformation harming public health and trust. To address the societal challenge, we introduce FACT-GPT, a system leveraging Large Language Models (L…
Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation
Eun Cheol Choi, Emilio Ferrara
In today's digital era, the rapid spread of misinformation poses threats to public well-being and societal trust. As online misinformation proliferates, manual verification by fact…