5 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…
Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents
Shalini Sushri, Rahul Dass, Rhea Basappa +2
The Virtual Experimental Research Assistant (VERA) is an inquiry-based learning environment that empowers a learner to build conceptual models of complex ecological systems and exp…