StudentSim: Training LLM-based Student Simulators research paper by Microsoft, 2026

Microsoft · Sep 1, 2026 · Applied AI · 0 citations · 360 upvotes

StudentSim trains per-student simulators that answer like a given learner and change their answers under a tutor's guidance.

Summarised by hand from the abstract.

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About this paper

Authors: Ke Yang, Chenglong Wang, Michel Galley and 4 more
arXiv: 2609.01591 · PDF
Citations: 0, 0 influential · Semantic Scholar
Upvotes: 360 · Hugging Face
Code: github.com/microsoft/StudentSim
Lab: Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

Date	What changed
Sep 24, 2026	New paperAdded to the listSep 24, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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