1 citations · 1 across the 3 of their papers we have counts for
4 papers
LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction
Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych +1
Large language models (LLMs) encode rich cultural knowledge learned from diverse web-scale data, offering an unprecedented opportunity to model cultural commonsense at scale. Yet t…
Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback
Junior Cedric Tonga, KV Aditya Srivatsa, Kaushal Kumar Maurya +2
Large language models (LLMs) have demonstrated the ability to generate formative feedback and instructional hints in English, making them increasingly relevant for AI-assisted educ…
Commonsense Reasoning in Arab Culture
Abdelrahman Sadallah, Junior Cedric Tonga, Khalid Almubarak +7
Despite progress in Arabic large language models, such as Jais and AceGPT, their evaluation on commonsense reasoning has largely relied on machine-translated datasets, which lack c…
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology
Junior Cedric Tonga, Benjamin Clement, Pierre-Yves Oudeyer
The automatic generation of hints by Large Language Models (LLMs) within Intelligent Tutoring Systems (ITSs) has shown potential to enhance student learning. However, generating pe…