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Microsoft research papers

Company · 4 papers · 27,923 citations · latest Sep 2026

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4 of 4 papers, newest first

PaperCitations
StudentSim: Training LLM-based Student SimulatorsStudentSim trains per-student simulators that answer like a given learner and change their answers under a tutor's guidance.Applied AI · Sep 20260
From Local to Global: A Graph RAG Approach to Query-Focused SummarizationGraphRAG builds a knowledge graph of a document set so a model can answer questions about the whole collection.Retrieval and data · Apr 20242,191
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneSmall models trained on filtered and synthetic data that run on a phone and rival much larger ones.Foundation models · Apr 20242,497
LoRA: Low-Rank Adaptation of Large Language ModelsLoRA fine-tunes a large model by training small low-rank matrices, cutting trainable parameters by 10,000 times.Training and scaling · Jun 202123.2k
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Topics: Applied AI 1, Retrieval and data 1, Foundation models 1, Training and scaling 1

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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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