2 citations · 3 across the 5 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results
Jan Batzner, Sree Harsha Nelaturu, Damian Stachura +45
AI evaluations are widely used for testing and understanding progress. However, the diverse evaluators bring with them inconsistencies that challenge analysis and comparison. First…
cs.AI2022★ 2 cited
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score
John P. Lalor, Hong Guo
Algorithmic interpretability is necessary to build trust, ensure fairness, and track accountability. However, there is no existing formal measurement method for algorithmic interpr…