Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents (2025 · 13 citations)
LLM agents are increasingly used to role-play learners, for example to test tutoring systems or teaching strategies.
Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction (2026)
Multiple-choice distractors are usually designed for the whole student population, so they miss the specific reasoning errors of individual learners.
Text-Guided Multi-Scale Frequency Representation Adaptation (2026)
Parameter-efficient tuning of vision-language models such as CLIP usually works on spatial features. These features carry a lot of redundancy, and most methods apply one uniform adjustment that ignores scale. The authors propose FreqAdapter, which moves CLIP visual and text embeddings into the frequency domain with a…

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Updated 2 November 2026