13 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.SI2026
Using Grok to Avoid Personal Attacks While Correcting Misinformation on X
Kevin Matthe Caramancion
Correcting misinformation in public online spaces often exposes users to hostility and ad hominem attacks, discouraging participation in corrective discourse. This study presents e…
cs.IR2024★ 2 cited
Large Language Models vs. Search Engines: Evaluating User Preferences Across Varied Information Retrieval Scenarios
Kevin Matthe Caramancion
This study embarked on a comprehensive exploration of user preferences between Search Engines and Large Language Models (LLMs) in the context of various information retrieval scena…
cs.CL2023★ 13 cited
News Verifiers Showdown: A Comparative Performance Evaluation of ChatGPT 3.5, ChatGPT 4.0, Bing AI, and Bard in News Fact-Checking
Kevin Matthe Caramancion
This study aimed to evaluate the proficiency of prominent Large Language Models (LLMs), namely OpenAI's ChatGPT 3.5 and 4.0, Google's Bard(LaMDA), and Microsoft's Bing AI in discer…