471 citations · 611 across the 33 of their papers we have counts for
3 papers · 1 filter
Fool Me, Fool Me: User Attitudes Toward LLM Falsehoods
Diana Bar-Or Nirman, Ariel Weizman, Amos Azaria
While Large Language Models (LLMs) have become central tools in various fields, they often provide inaccurate or false information. This study examines user preferences regarding f…
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System
Robin Schmucker, Meng Xia, Amos Azaria +1
Conversational tutoring systems (CTSs) offer learning experiences through interactions based on natural language. They are recognized for promoting cognitive engagement and improvi…
Identifying the Source of Information Spread in Networks via Markov Chains
Yael Sabato, Amos Azaria, Noam Hazon
Nowadays, the diffusion of information through social networks is a powerful phenomenon. One common way to model diffusions in social networks is the Independent Cascade (IC) model…