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Addison Howard

2 accepted papers

2025

Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation

ICML 2025oral

In this position paper, we observe that empirical evaluation in Generative AI is at a crisis point since traditional ML evaluation and benchmarking strategies are insufficient to meet the needs of evaluating modern GenAI models and systems. There are many reasons for this, including the fact that th…

Cited by 10SourcePDFScholar
2023

DataPerf: Benchmarks for Data-Centric AI Development

NeurIPS 2023poster

Machine learning research has long focused on models rather than datasets, and prominent datasets are used for common ML tasks without regard to the breadth, difficulty, and faithfulness of the underlying problems. Neglecting the fundamental importance of data has given rise to inaccuracy, bias, and…