LLM-Paperstorm

LLM-Paperstorm is a teaching activity for LLM-assisted paper reading, designed to help students engage with academic literature, while learning about responsible use of AI technology.

Overview

The activity comprises having groups of students engage with research paper in their respective field through assistance of a large language model. Students are instructed to validate the output of the LLM against the paper. In a subsequent syntehsis phase, students present their findings on the content level and on their experience of the language model’s performance.

Resources

• Download the LLM-Paperstorm guide

Publications

• Lukas Galke Poech (2026). LLM-Paperstorm: Collaborative Paper Reading with Large Language Models. Proceedings of the Conference on Teaching for Active Learning 2025. Odense, Denmark.

Presentations

• Lukas Galke Poech (2026, January). LLM-Assisted Paper Reading. Teaching with AI, Science Education Hub, SDU, Odense, Denmark. [slides]

• Lukas Galke Poech (2025, November). LLM-Assisted Paper Reading. Teaching and Learning Conference (TAL), SDU, Odense, Denmark.