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Research

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling

Fine-tuned language models enhance embeddings for cognitive modeling of learner-item interactions in educational systems.

Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline

Academic research on enhancing embeddings through fine-tuned language models applied to learner-item cognitive modeling. Represents incremental methodological work in LLM applications to educational systems.

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