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Found 5 papers, 1 papers with code
The Imitation Game for Educational AI
In Phase 2, both AI and human experts, conditioned on each student's specific mistakes, generate distractors for new related questions.
LLM-based Cognitive Models of Students with Misconceptions
Our findings reveal that LLMs trained on misconception examples can efficiently learn to replicate errors.
Discovering Malicious Signatures in Software from Structural Interactions
Malware represents a significant security concern in today's digital landscape, as it can destroy or disable operating systems, steal sensitive user information, and occupy valuable disk space.
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives
Motivated by the intricacy of these collectives, we propose a neural network (NN) architecture inspired by the rules observed in nature's collective ensembles.
Code Soliloquies for Accurate Calculations in Large Language Models
Our approach notably enhances the quality of synthetic conversation datasets, especially for subjects that are calculation-intensive.
