From the 1 of 24 linked papers with an AI index.
24 papers
SchemaLink: An Intelligent Web Editor for LinkML Schema Curation
Emanuele Cavalleri, Paolo Perlasca, J. Harry Caufield +3
Motivation: LinkML is a suitable language for the representation of the structural and content constraints of different kinds of biomedical data. Even if it is a quite recent propo…
-MemEvo: Adaptive Cross-Task Memory Transfer for LLM Program Evolution
Aofan Liu, Shiyuan Song, Yiyan Qi
LLM-based program evolution systems such as FunSearch and AlphaEvolve have shown strong ability to discover novel algorithms, but typically optimize each task in isolation, discard…
Using LLMs to Detect Growth in Computational Thinking in Introductory Physics
Sean Savage, Anand Shanker, Grace Michlitsch +1
As computation becomes more central to physics education, creating scalable methods to assess authentic computational thinking (CT) in students remains a critical challenge. While…
Assessing AI in Introductory Physics Problem Solving
Amir Bralin, N. Sanjay Rebello
The paper evaluates OpenAI's o4-mini large language model on introductory physics problems from Halliday and Resnick, finding about 90% overall accuracy but lower performance on im…
Using Large Language Models to Analyze Engagement in Computational Thinking via Computational Physics Essays
Sean Savage, Amir Bralin, Paul Hur +1
As computational thinking (CT) becomes increasingly important to physics education, the need for authentic, project-based assessments has grown. While open-ended multimodal assignm…
Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM
Younghun Lee, Amir Bralin, Nobel Sanjay Rebello +1
Educational interventions are effective tools for enhancing student learning. While Large Language Models (LLMs) allow for generating adaptive feedback at scale, current studies la…