LLM simulators exhibit near-zero selective response to targeted misconception feedback and behave sycophantically, but SFT and SFS-aligned RL improve this property.
arXiv preprint arXiv:2310.19206 (2023)
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ArguMath is an AI-simulated classroom environment that enables pre-service math teachers to practice orchestrating mathematical argumentation through customizable scenarios, AI student interactions, and structured reflection, with preliminary user feedback indicating potential benefits for theory-
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Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
LLM simulators exhibit near-zero selective response to targeted misconception feedback and behave sycophantically, but SFT and SFS-aligned RL improve this property.
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ArguMath: AI-Simulated Environment for Pre-Service Teacher Training in Orchestrating Classroom Mathematics Argumentation
ArguMath is an AI-simulated classroom environment that enables pre-service math teachers to practice orchestrating mathematical argumentation through customizable scenarios, AI student interactions, and structured reflection, with preliminary user feedback indicating potential benefits for theory-