15 citations · 20 across the 7 of their papers we have counts for
3 papers · 1 filter
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.…
Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation
Abigail Victoria Gurin Schleifer, Moriah Ariely, Beata Beigman Klebanov +2
Automated short answer scoring (ASAS) is shifting from discriminative, fine-tuned models to large language models (LLMs) used in few-shot settings. This paradigm leverages LLMs bro…
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…