4 citations · 4 across the 3 of their papers we have counts for
3 papers
Interpretable Humans, Alien LLMs: Expert Analysis of Latent Structures in Assessment Responses
Alona Strugatski, Licol Zeinfeld, Jason Cooper +3
The evaluation of large language models (LLMs) relies heavily on human-designed assessments, implicitly assuming that AI and humans employ similar underlying cognitive constructs.…
Do Assessment Instruments Measure the Same Thing for Humans and LLMs? A Latent Structure Analysis
Alona Strugatski, Licol Zeinfeld, Giora Alexandron
The rapid development and growing deployment of large language models (LLMs) have made it increasingly important to understand their capabilities. A common approach is to evaluate…
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners
Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely +1
Unsupervised clustering of student responses to open-ended questions into behavioral and cognitive profiles using pre-trained LLM embeddings is an emerging technique, but little is…