> ML_LITERATURE // CLARK-2018-THINK-YOU-HAVE-SOLVED-QUESTION-ANSWERING-ARC_v1.0
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord · arXiv preprint (2018)
benchmark2018foundationalartifactsAvailable
Principal Contribution
Created the ARC Challenge set: 7,787 grade-school science multiple-choice questions partitioned into Easy and Challenge sets requiring complex commonsense reasoning.
Operational Relevance
Serves as qualified theoretical and empirical reference for task-question-answering.
Assumptions
- Mathematical convexity, regularity, and empirical consistency hold across problem configurations
Limitations
- Theoretical bounds and benchmark saturation characteristics vary across model architectures and training scales
Connected Algorithms, Architectures & Tools
Related Algorithms:
Related Architectures:
Implementing Libraries:
