Papers by Julia Chatain

1 papers
Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure (2025.findings-acl)

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Challenge: Recent studies have shown that LLMs are not able to provide one-to-one tutoring solutions because of their high cost and efficiency.
Approach: They propose an algorithm to optimize LLM prompts and steer it to follow a predefined multi-turn tutoring plan represented as a transition graph.
Outcome: The proposed algorithm is able to optimize LLM prompts and steer it to follow a predefined multi-turn tutoring plan represented as a transition graph.

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