4 papers
Constructing Evaluation Datasets for Procedural Reasoning: Balancing Naturalness, Grounding, and Multi-Hop Coverage
Sarah Elshabrawy, Rahul K. Dass, Ashok K. Goel
Evaluating procedural reasoning in AI-supported learning systems requires question-answer datasets that are both learner-like and grounded in the instructional knowledge the system…
Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach
Rahul K. Dass, Shubham Puri, Arpit Khandelwal +2
Scalable AI tutoring for procedural skill learning requires structured knowledge representations, yet constructing these representations remains a labor-intensive bottleneck. This…
Improving Procedural Skill Explanations via Constrained Generation: A Symbolic-LLM Hybrid Architecture
Rahul Dass, Thomas Bowlin, Zebing Li +2
In procedural skill learning, instructional explanations must convey not just steps, but the causal, goal-directed, and compositional logic behind them. Large language models (LLMs…
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…